Los estudios de ciencia, tecnología y sociedad revelan las interrelaciones entre la ciencia y la tecnología como procesos sociales. Este artículo persigue como objetivo: valorar la significación social de un entorno virtual en la enseñanza aprendizaje de la Estadística descriptiva en la carrera de Medicina. El diagnóstico preliminar mediante de la observación, la encuesta y el análisis documental, mostró que existen insuficiencias en el uso de las tecnologías de la información y las comunicaciones en el proceso de enseñanza aprendizaje de (...) la Estadística. Se diseñó un entorno virtual constituido por cinco módulos que incluyen contenidos de Estadística descriptiva, ejercicios, bibliografía y ayuda. Con la validación a partir del criterio de especialistas y la sistematización con la introducción en la práctica, se evaluó el mismo como muy adecuado, fue considerado útil, necesario y aplicable al contexto objeto de estudio, lo que contribuye a la formación científica de los estudiantes desde una posición materialista. Science, technology and society studies reveal the interrelations between science and technology as social processes. This article pursues the following objectives: to assess the social significance of a virtual environment in the teaching and learning of descriptive Statistics in Medicine degree course. The preliminary diagnosis through the observation, opinion poll and documentary analysis, showed that there are insufficiencies in the use of Information and Communication technologies in teaching and learning Statistics. It was designed a virtual environment with five modules that include contents of descriptive Statistics, exercises, bibliography and help. With the validation of specialists and the systematization after putting it in practice, the virtual environment was assessed as adequate, useful, necessary and applicable to the context being studied, which contributes to the scientific training of students from a materialistic position. (shrink)

The fundamental problem on which Ilya Prigogine and the Brussels-Austin Group have focused can be stated briefly as follows. Our observations indicate that there is an arrow of time in our experience of the world (e.g., decay of unstable radioactive atoms like Uranium, or the mixing of cream in coffee). Most of the fundamental equations of physics are time reversible, however, presenting an apparent conflict between our theoretical descriptions and experimental observations. Many have thought that the observed arrow of time (...) was either an artifact of our observations or due to very special initial conditions. An alternative approach, followed by the Brussels-Austin Group, is to consider the observed direction of time to be a basic physical phenomenon and to develop a mathematical formalism that can describe this direction as being due to the dynamics of physical systems. In part I of this essay, I review and assess an attempt to carry out an approach that received much of their attention from the early 1970s to the mid 1980s. In part II, I will discuss their more recent approach using rigged Hilbert spaces. (shrink)

It is shown that quantum mechanics is a plausible statistical description of an ontology described by classical electrodynamics. The reason that no contradiction arises with various no-go theorems regarding the compatibility of QM with a classical ontology, can be traced to the fact that classical electrodynamics of interacting particles has never been given a consistent definition. Once this is done, our conjecture follows rather naturally, including a purely classical explanation of photon related phenomena. Our analysis entirely rests on the block-universe (...) view entailed by relativity theory. (shrink)

The fundamental problem on which Ilya Prigogine and the Brussels–Austin Group have focused can be stated briefly as follows. Our observations indicate that there is an arrow of time in our experience of the world (e.g., decay of unstable radioactive atoms like uranium, or the mixing of cream in coffee). Most of the fundamental equations of physics are time reversible, however, presenting an apparent conflict between our theoretical descriptions and experimental observations. Many have thought that the observed arrow of time (...) was either an artifact of our observations or due to very special initial conditions. An alternative approach, followed by the Brussels–Austin Group, is to consider the observed direction of time to be a basic physical phenomenon due to the dynamics of physical systems. This essay focuses mainly on recent developments in the Brussels–Austin Group after the mid-1980s. The fundamental concerns are the same as in their earlier approaches (subdynamics, similarity transformations), but the contemporary approach utilizes rigged Hilbert space (whereas the older approaches used Hilbert space). While the emphasis on nonequilibrium statistical mechanics remains the same, their more recent approach addresses the physical features of large Poincare systems, nonlinear dynamics and the mathematical tools necessary to analyze them. (shrink)

The approaching ways in religious phenomenon quantitative studies are, most of the times, based only on the evolution of adherent flows and population structure from a religious point of view. In this pape, an integrated statistical indicators system will be designed. The main purpose of the system is to enhance the quality and coherence of the religious phenomenon. The most important indicators from the integrated system are: context indicators (political, economical, socio-cultural, demographical), basic indicators, level and structure indicators, participation indicators, (...) resource indicators (spiritual, human and pecuniary), quality, efficiency and outcomes (religious freedom, social connections, international relationships). Designing a complete, coherent system of indicators is necessary for a correct approach in studying the religious phenomenon. Statistical indicators can supply quantitative data for the operational description of the religious phenomenon. The indicators’ system makes possible not only a descriptive analysis but also some advanced statistical techniques (e.g. regression and correlation method). (shrink)

Shapiro and Sober claim that Walsh, Ariew, Lewens, and Matthen give a mistaken, a priori defense of natural selection and drift as epiphenomenal. Contrary to Shapiro and Sober’s claims, we first argue that WALM’s explanatory doctrine does not require a defense of epiphenomenalism. We then defend WALM’s explanatory doctrine by arguing that the explanations provided by the modern genetical theory of natural selection are ‘autonomous-statistical explanations’ analogous to Galton’s explanation of reversion to mediocrity and an explanation of the diffusion ofgases. (...) We then argue that whereas Sober’s theory of forces is an adequate description of Darwin’s theory, WALM’s explanatory doctrine is required to understand how themodern genetical theory of natural selection explains large-scale statistical regularities. 1 Introduction2 Shapiro and Sober’s ‘Epiphenomenalism Do’s and Don’ts’3 WALM’s Explanatory Doctrine4 Galton’s Autonomous-Statistical Explanation5 A Second Example: The Statistical Explanation of the Diffusion of Gases6 Distinguishing Two Theories of Evolution by Natural Selection7 A Possible Objection: Are Statistical Laws Sufficient for Explanation?8 Conclusion. (shrink)

The aim of the present study was to determine statistical differences in a set of badminton competition matches in five different modalities with regard to competition level (Group Phase versus Eliminatory Phase). Data from 453 sets (125 in men’s singles; 108 sets in women’s singles; 77 sets in men’s doubles; 73 in women’s doubles and 70 in mixed doubles) from the RIO 2016 Olympics Games were recorded and classified in two groups of variables to analyse variables related to match (5) (...) and set (15). A descriptive analysis and univariate test (Mann Whitney U) for non-parametric data were conducted. The results show in men’s and women’s singles all the variables related to match were higher in the Elimination Phase than in the Group Phase (p<0.01). In Sets 1 and 3, the longest set duration, rally and average rally were found in the Elimination Phase than Group Stage (p<0.05). In women’s singles, these differences were also recorded in Set 2. For doubles, the results are more stable among groups. Men’s doubles had a longer duration of the match and set (set 1 and set 2) (p<0.01), and also scored highest for average rally strokes (set 1 and set 3) (p<0.05) and shuttles used in the Elimination Phase versus the Group Phase along the match (p<0.01). In women’s doubles, more shuttles were used in a match in the Elimination than in the Group Phase. Moreover, the same results are established for Set 2, including for average rally. Mixed doubles saw no match going to three sets. However, the greatest differences showed a longer rally and average rally being registered in the Elimination than in the Group Phase. In conclusion, the timing factors of the badminton singles and doubles games were different in the Elimination and Group Phases. This information may help players and coaches prepare and administer different types of workouts or, more specifically, competition schedules adapted to the characteristics of modern badminton. (shrink)

The Bozeman scale is the most famous scale of statistical stylistics, and is based on the study of the vocabulary used by the author, and the number of verbs and adjectives in the text. Based on this scale, the ratio of dividing the number of verbs by the number of adjectives indicates its literary or sci-entific style and rationality. Therefore, this study aims to answer the follow-ing questions: How accurate is the Bozeman equation in measuring the lit-erary texts and the (...) emotionality of their authors? How does the style of a sermon differ from the style used in other literary arts? Do the subject and content of the sermon play a role in raising the level of the literary style and emotionality of the preacher? What factors affect the value of the Bozeman scale in political speeches and preaching sermons? What factors affect the value of the Bozeman scale in political speeches and preaching sermons? This study aims to apply this objective scale to sermons and compare the value of the scale in them with the percentages in other literary genres on which similar studies were conducted, such as poetry and letters. It also focuses on the impact of the content of the text on the value of the scale by comparing political speeches and preaching speeches. The study chose a sample of political speeches by Ziyâd b. Ebîh and Al-Hajjaj bin Yusuf Al-Thaqafi, and a sample of preaching sermons by `Omar bin Abdul Aziz and Al-Hassan Al-Basri, adopting the descriptive statistical analytical approach. The results revealed that the style of sermons is the most literary and emo-tional one among all other literary genres. Besides, preaching sermons sur-pass political speeches based on the value of the Bozeman scale, thus imply-ing that their style employs emotion, conscience, and literary images. In con-trast, political speeches are characterized by a rational style that relies on arguments and proofs. (shrink)

COVID-19 has substantially affected our lives during 2020. Since its beginning, several epidemiological models have been developed to investigate the specific dynamics of the disease. Early COVID-19 epidemiological models were purely statistical, based on a curve-fitting approach, and did not include causal knowledge about the disease. Yet, these models had predictive capacity; thus they were used to ground important political decisions, in virtue of the understanding of the dynamics of the pandemic that they offered. This raises a philosophical question about (...) how purely statistical models can yield understanding, and if so, what the relationship between prediction and understanding in these models is. Drawing on the model that was developed by the Institute of Health Metrics and Evaluation, we argue that early epidemiological models yielded a modality of understanding that we call descriptive understanding, which contrasts with the so-called explanatory understanding which is assumed to be the main form of scientific understanding. We spell out the exact details of how descriptive understanding works, and efficiently yields understanding of the phenomena. Finally, we vindicate the necessity of studying other modalities of understanding that go beyond the conventionally assumed explanatory understanding. (shrink)

There are two theoretical approaches in statistical mechanics, one associated with Boltzmann and the other with Gibbs. The theoretical apparatus of the two approaches offer distinct descriptions of the same physical system with no obvious way to translate the concepts of one formalism into those of the other. This raises the question of the status of one approach vis-à-vis the other. We answer this question by arguing that the Boltzmannian approach is a fundamental theory while Gibbsian statistical mechanics is an (...) effective theory, and we describe circumstances under which Gibbsian calculations coincide with the Boltzmannian results. We then point out that regarding GSM as an effective theory has important repercussions for a number of projects, in particular attempts to turn GSM into a nonequilibrium theory. (shrink)

BackgroundThe Mental Capacity Act was enacted in 2007 in England and Wales, but the assessment of mental capacity still remains an area of professional concern. Doctors’ compliance with legal and professional standards is inconsistent, but the reasons for poor compliance are not well understood. This preliminary study investigates doctors’ experiences of and attitudes toward mental capacity assessment.MethodsThis is a descriptive, cross-sectional study where a two-domain, study-specific structured questionnaire was developed, piloted and digitally disseminated to doctors at differing career stages (...) employed in a large, multi-site National Health Service Trust in London over 4 months in 2018. Descriptive statistics and frequency tables adjusted for missing data were generated and secondary analysis was conducted.ResultsParticipants were predominantly UK trained, female and between the ages of 30 and 44 years. Less than half of the participants reported receiving formal MCAx training. Only one-third of the participants self-rated themselves as very competent or extremely competent. Self-reported MCA confidence was significantly affected by career stage with Consultants with over 10 years of experience reporting lowest confidence.ConclusionsThis study describes significant variation in practice by doctors and low self-confidence in the practice of MCAx. These results raise concerns that MCAx continues to be inconsistently performed by doctors despite appropriate awareness of the law and professional guidance on best practice. (shrink)

A fundamental question in visual neuroscience is: Why are the response properties of visual neurons as they are? A modern approach to this problem emphasizes the importance of adaptation to ecologically valid input, and it proceeds by modeling statistical regularities in ecologically valid visual input (natural images). A seminal model was linear sparse coding, which is equivalent to independent component analysis (ICA), and provided a very good description of the receptive fields of simple cells. Further models based on modeling residual (...) dependencies of the ‘‘independent” components have later been introduced. These models lead to emergence of further properties of visual neurons: the complex cell receptive fields, the spatial organization of the cells, and some surround suppression and Gestalt effects. So far, these models have concentrated on the response properties of neurons, but they hold great potential to model various forms of inference and learning. (shrink)

Modern microscopic theory is employed to construct a powerful analytical algorithm that permits a clear description of characteristic features of strongly correlated quantum fluids in thermodynamic equilibrium. Using recently developed formal results we uncover an intricate relationship between strongly correlated systems and free quantum gases of appropriately defined constituents. The latter entities are precisely defined renormalized bosons or fermions. They carry all the information contained in the statistical correlations of the strongly interacting many-particle system by virtue of their effective masses. (...) The mass of such a renormalized boson or fermion depends in a specific form on temperature, bulk particle number density of the many-body system, and eventually on momentum. Due to these properties the renormalized bosons and fermions determine in particular the location and nature of the transition to non-normal phases. (shrink)

The question to be addressed is, In what sense and to what extent do quantum statistics for, and the standard formal quantum-mechanical description of, systems of many identical particles entail that identical quantum particles are indistinguishable? This paper argues that whether or not we consider identical quantum particles as indistinguishable is a matter of theory choice underdetermined by logic and experiment.

Between 1799 and 1806, trials of vaccination to determine its safety and efficacy were undertaken in hospitals in London, Paris, Vienna, and Boston. These trials were among the first instances of formal hospital evaluations of a medical procedure and signal a growing acceptance of a relatively new approach to medical practice. These early evaluations of smallpox vaccination also relied on descriptive and quantitative accounts, as well as probabilistic analyses, and thus occupy a significant, yet hitherto unexamined, place in the (...) history of medical statistics. (shrink)

The formulation of manifestly covariant relativistic statistical mechanics as the description of an ensemble of events in spacetime parametrized by an invariant proper-time τ is reviewed. The linear and cubic mass spectra, which result from this formulation (the latter with the inclusion of anti-events) as the actual spectra of an individual hadronic multiplet and hot hadronic matter, respectively, are discussed. These spectra allow one to predict the masses of particles nucleated to quasi-levels in such an ensemble. As an example, the (...) masses of the ground-state mesons and baryons are considered; the results are in excellent agreement with the measured hadron masses. Additivity of inverse Regge slopes is established and shown to be consistent with available experimental data on the D meson and Λc baryon production. (shrink)

A popular model of normative decision-making under uncertainty suggests choosing the option with the maximum expected moral choice-worthiness (MEC), where the choice-worthiness values from each moral theory, which are assumed commensurable, are weighted by credence and combined. This study adds descriptive uncertainty about the non-moral facts of a situation into the model by treating choice-worthiness as a random variable. When agents face greater descriptive uncertainty, the choice-worthiness random variable will have a greater spread and a larger standard deviation. (...) MEC, as a decision rule, is sensitive only to the expected value of the random variable and not to its standard deviation. For example, MEC is insensitive to cases where an option with a large degree of descriptive uncertainty may have a higher probability of being below some threshold of impermissibility than does an option with less dispersion, even though the latter has a higher expected choice-worthiness. When applied to the same situation, similar moral theories will have statistically correlated choice-worthiness values. This correlation affects the dispersion of the credence-weighted sum of the random variables but not its expected value. Thus, MEC is insensitive to aspects of the normative situation to which a good decision-rule should be sensitive. (shrink)

Christopher Boorse’s bio-statistical theory of health and disease argues that the central discipline on which theoretical medicine relies is physiology. His theory has been much discussed but little has been said about its focus on physiology or, conversely, about the role that other biomedical disciplines may play in establishing a theoretical concept of health. Since at least the 1950s, epidemiology has gained in strength and legitimacy as an independent medical science that contributes to our knowledge of health and disease. Indeed, (...) it not only provides important information about disease distribution and aetiology, but the risk-factor approach it employs seems to challenge BST’s binary conception of health and disease. The objective of the article is to show, firstly, how important information deriving from descriptive and analytical epidemiology forms part of our contemporary medical concepts of health and disease, and secondly, that these elements are not taken into account by BST in a satisfactory way. The article’s central contention, therefore, is that if the project of defining the theoretical concept of health is to be maintained, more importance should be accorded to the contribution made by epidemiology—alongside physiology—in defining health. (shrink)

The fundamental problem on which Ilya Prigogine and the Brussels- Austin Group have focused can be stated briefly as follows. Our observations indicate that there is an arrow of time in our experience of the world (e.g., decay of unstable radioactive atoms like Uranium, or the mixing of cream in coffee). Most of the fundamental equations of physics are time reversible, however, presenting an apparent conflict between our theoretical descriptions and experimental observations. Many have thought that the observed arrow of (...) time was either an artifact of our observations or due to very special initial conditions. An alternative approach, followed by the Brussels-Austin Group, is to consider the observed direction of time to be a basic physical phenomenon due to the dynamics of physical systems. This essay focuses mainly on recent developments in the Brussels-Austin Group after the mid 1980s. The fundamental concerns are the same as in their earlier approaches (subdynamics, similarity transformations), but the contemporary approach utilizes rigged Hilbert space (whereas the older approaches used Hilbert space). While the emphasis on nonequilibrium statistical mechanics remains the same, their more recent approach addresses the physical features of large Poincar´. (shrink)

There ought to exist a description of quantum field theory which does not depend on an external classical time. To achieve this goal, in a recent paper we have proposed a non-commutative special relativity in which space-time and matter degrees of freedom are treated as classical matrices with arbitrary commutation relations, and a space-time line element is defined using a trace. In the present paper, following the theory of Trace Dynamics, we construct a statistical thermodynamics for the non-commutative special relativity, (...) and show that one arrives at a generalized quantum dynamics in which space and time are non-classical and have an operator status. In a future work, we will show how standard quantum theory on a classical space-time background is recovered from here. (shrink)

The most compelling extant accounts of explanation casts all explanations as causal. Yet there are sciences, theoretical population biology in particular, that explain their phenomena by appeal to statistical, non-causal properties of ensembles. I develop a generalised account of explanation. An explanation serves two functions: metaphysical and cognitive. The metaphysical function is discharged by identifying a counterfactually robust invariance relation between explanans event and explanandum. The cognitive function is discharged by providing an appropriate description of this relation. I offer examples (...) of explanations from portfolio theory and population genetics that meet this characterisation. In each case the invariance relation holds between a statistical property of an ensemble and a change in structure of the ensemble. In neither case, however, does the statistical property cause the outcome it explains. There are genuine statistical, non-causal scientific explanations. (shrink)

The paper engages Christopher Boorse’s Bio-Statistical Theory (BST). In its current form, BST runs into a significant challenge. For BST to account for its central tenet—that lower-level part-dysfunction is sufficient for higher-level pathology—it must provide criteria for how to decide which lower-level parts are the ones to be analyzed for health or pathology. As BST is a naturalistic theory, such choices must be based solely on naturalistic considerations. An argument is provided to show that, if BST is to be preserved, (...) such parthood choices are based on non-naturalistic considerations. We demonstrate that even when parthood choices are based on the best way to preserve BST, there are counterintuitive results which bring the central tenet of BST into question. (shrink)

Recently a new attempt to go beyond QM was performed in the form of so-called prequantum classical statistical field theory (PCSFT). In this approach quantum systems are described by classical random fields, e.g., the electron field or the neutron field. Averages of quantum observables arise as approximations of averages of classical variables (functionals of “prequantum fields”) with respect to fluctuations of fields. For classical variables given by quadratic functionals of fields, quantum and prequantum averages simply coincide. In this paper we (...) generalize PCSFT to the composite quantum system. The main discovery is that, opposite to a rather common opinion, a composite system can be described by the Cartesian product of state spaces (like in classical physics) and not by the tensor product of them (like in conventional QM). A natural interpretation of the quantum pure state for a composite system is proposed: it is the nondiagonal block in the covariance matrix of the random field describing a composite system. The interpretation of a pure state due to Dirac and von Neumann seems to be an artifact of the conventional mathematical description of micro-systems. PCSFT provides a new possibility for interpretation of entanglement. (shrink)

In a series of recent papers, Randall and Foulis have developed a generalized theory of probability (operational statistics) which is based on the notion of a physical operation. They have shown that the quantum logic description of quantum mechanics can be naturally imbedded into this generalized theory of probability. In this paper we shall investigate the role of entropy (in the sense of Shannon's theory of information) in operational statistics. We shall find that there are several related entropy (...) concepts in operational statistics. We shall examine the relationships between these different entropy concepts and examine their implications for the foundations of quantum theory. We shall also examine the extension of the Jaynes inference scheme to the operational statistics formalism, and apply the latter to the case of quantum statistical mechanics. (shrink)

Quantitative researchers often discuss research ethics as if specific ethical problems can be reduced to abstract normative logics (e.g., virtue ethics, utilitarianism, deontology). Such approaches overlook how values are embedded in every aspect of quantitative methods, including ‘observations,’ ‘facts,’ and notions of ‘objectivity.’ We describe how quantitative research practices, concepts, discourses, and their objects/subjects of study have always been value-laden, from the invention of statistics and probability in the 1600s to their subsequent adoption as a logic made to appear (...) as if it exists prior to, and separate from, ethics and values. This logic, which was embraced in the Academy of Management from the 1960s, casts management researchers as ethical agents who ought to know about a reality conceptualized as naturally existing in the image of statistics and probability (replete with ‘constructs’), while overlooking that S&P logic and practices, which researchers made for themselves, have an appreciable role in making the world appear this way. We introduce a different way to conceptualize reality and ethics, wherein the process of scientific inquiry itself requires an examination of its own practices and commitments. Instead of resorting to decontextualized notions of ‘rigor’ and its ‘best practices,’ quantitative researchers can adopt more purposeful ways to reason about the ethics and relevance of their methods and their science. We end by considering implications for addressing ‘post truth’ and ‘alternative facts’ problems as collective concerns, wherein it is actually the pluralistic nature of description that makes defending a collectively valuable version of reality so important and urgent. (shrink)

Of all global problems world population growth is the most significant. The growth of the number of people expresses the sum outcome of all economic, social and cultural activities that comprise human history. Demographic data in a concise and quantitative way describe this process in the past and present. By applying the concepts of nonlinear dynamics and synergetics, it is possible to work out a mathematical model for a phenomenological description of the global demographic process and project its trends into (...) the future. Assuming self-similarity as the dynamic principle of development, growth can be described over practically the whole of human history, with a growth rate proportional to the square of the number of people. This is due to a collective interaction, responsible for the growth of human numbers, as the result of the informational nature of development. The large parameter of the theory and the effective size of a coherent population group is of the order of 105. As the microscopic parameter of the phenomenology, the human life span is introduced into the theory. Estimates of the beginning of human development 4-5 million years ago and of the total number of people who have ever lived since then ≈ 100 billion are made. In the framework of the model, large scale cycles defined by history and anthropology are shown to follow an exponential pattern of growth, culminating in the demographic transition, a veritable revolution when population growth is to stabilize at 10 to 12 billion. (shrink)

Determining optimal units of representing morphologically complex words in the mental lexicon is a central question in psycholinguistics. Here, we utilize advances in computational sciences to study human morphological processing using statistical models of morphology, particularly the unsupervised Morfessor model that works on the principle of optimization. The aim was to see what kind of model structure corresponds best to human word recognition costs for multimorphemic Finnish nouns: a model incorporating units resembling linguistically defined morphemes, a whole-word model, or a (...) model that seeks for an optimal balance between these two extremes. Our results showed that human word recognition was predicted best by a combination of two models: a model that decomposes words at some morpheme boundaries while keeping others unsegmented and a whole-word model. The results support dual-route models that assume that both decomposed and full-form representations are utilized to optimally process complex words within the mental lexicon. (shrink)

Statistics and probability enabled students to better understand, process, and evaluate massive amounts of quantitative data that existed and had a probabilistic sense in uncertain situations. The research article aimed to elucidate the performance and self-efficacy as predictors of students' achievement in the statistics and probability courses. The study utilized a descriptive-predictive research method and was conducted at Sto. Tomas National High School, involving a sample of 263 grade 11 senior high school students. The gathered data were (...) analyzed using descriptive measures and multiple regression analysis. The study's results revealed that the performance in General Mathematics was very satisfactory, while self-efficacy was high. Moreover, the level of achievement in Statistics and Probability was very satisfactory. It was also revealed that both General Mathematics performance and self-efficacy had a positive and significant relationship with Statistics and Probability achievement. Through regression analysis, it was discovered that General Mathematics performance was the strongest predictor that influenced achievement in Statistics and Probability. The study identified a significant predictive model for Statistics and Probability achievement. These findings could provide valuable guidance to teachers in enhancing the achievement of senior high school students in Statistics and Probability. (shrink)

In this article I investigate the extent to which perspectival realism (PR) agrees with frequentist statistical methodology and philosophy, with an emphasis on J. Neyman’s frequentist statistical methods and philosophy. PR is clarified in the context of frequentist statistics. Based on the example of the stopping rule problem, PR is shown to be able to naturally be associated with frequentist statistics in general. I show that there are explicit and implicit aspects of Neyman’s methods and philosophy that are (...) incompatible and both partially agree and disagree with PR. Additionally, I provide clarifications and interpretations to make Neyman’s methods and philosophy more coherent with the realist aspect of PR. Furthermore, I deliver an argument that, based on Neyman’s methods and philosophy, one is dealing with genuine and non-trivial perspectives. I argue that, despite Neyman being a normative anti-pluralist, there are some elements of perspectival pluralism present in his methods and philosophy. In conclusion, firstly, due to their ambivalence, Neyman’s conceptions align more closely with PR than with alternative, less moderate stances. Secondly, from the perspective of the statistical approach analysed, PR should be treated as a descriptive rather than a normative position, and as case (or aspect)-dependent, rather than a universal, absolute, or binding stance. (shrink)

Over the past fifteen years there has been a considerable amount of debate concerning what theoretical population dynamic models tell us about the nature of natural selection and drift. On the causal interpretation, these models describe the causes of population change. On the statistical interpretation, the models of population dynamics models specify statistical parameters that explain, predict, and quantify changes in population structure, without identifying the causes of those changes. Selection and drift are part of a statistical description of population (...) change; they are not discrete, apportionable causes. Our objective here is to provide a definitive statement of the statistical position, so as to allay some confusions in the current literature. We outline four commitments that are central to statisticalism. They are: 1. Natural Selection is a higher order effect; 2. Trait fitness is primitive; 3. Modern Synthesis (MS)-models are substrate neutral; 4. MS-selection and drift are model-relative. (shrink)

The objective of this study is to compare the quantity of citations that retracted and nonretracted articles received in engineering based on articles indexed in the Web of Science database and published between 1945 and 2015. For data analysis, the Statistical Package for the Social Sciences was used along with the Kolmogorov–Smirnov, Mann–Whitney, Tukey–Kramer tests and descriptive statistics. The data set included 238 retracted and 236 nonretracted articles, with the retracted articles cited 2,348 times and nonretracted articles cited (...) 2,957 times. The results highlight that retraction does not end citation, thus threatening scientific credibility. (shrink)

People’s beliefs about normality play an important role in many aspects of cognition and life (e.g., causal cognition, linguistic semantics, cooperative behavior). But how do people determine what sorts of things are normal in the first place? Past research has studied both people’s representations of statistical norms (e.g., the average) and their representations of prescriptive norms (e.g., the ideal). Four studies suggest that people’s notion of normality incorporates both of these types of norms. In particular, people’s representations of what is (...) normal were found to be influenced both by what they believed to be descriptively average and by what they believed to be prescriptively ideal. This is shown across three domains: people’s use of the word ‘‘normal” (Study 1), their use of gradable adjectives (Study 2), and their judgments of concept prototypicality (Study 3). A final study investigated the learning of normality for a novel category, showing that people actively combine statistical and prescriptive information they have learned into an undifferentiated notion of what is normal (Study 4). Taken together, these findings may help to explain how moral norms impact the acquisition of normality and, conversely, how normality impacts the acquisition of moral norms. (shrink)

A dynamic description model of the flight path a dragonfly takes is required in order to derive the encounter frequency of the dragonfly males visiting a pond. It is considered as the first part of a realistic description of the regulation of dragonfly density at the pond by behavioural interaction. Since the dragonfly males fly strictly along the shoreline of the pond, their displacement may be perceived as a quasi linear movement. The flight paths of dragonflies were recorded in field (...) by registering at regular time intervals the number of the shoreline section. in which the dragonfly was staying at that moment. The recorded flight paths show a wide variety from circling around the pond or flying widely to and fro to remaining in a narrow sector of the shoreline . The records were classified into 9 flight style groups. The flight style is temperature dependent, but there are also individual differences between the dragonflies. The strategy adopted for model building is to start with the most simple assumptions and parameters. The dynamic performance of each model is assessed by simulations. The model has to be extended until the simulated flight path patterns resemble the observed patterns. In a model with one parameter the displacement for every time interval is given by a stochastic decision using the probabilities evaluated from the observed frequencies of step length . This model was run with different sets of data. The simulated patterns using the data from all records together slightly resemble some observed patterns. They represent, however, only a small range of the variability observed. With data from the different style groups or the single records the simulated patterns are much more variable, but they are too irregular and contain too many turns . Therefore the description model was extended by a second parameter determining the direction of each step. The probability of turning is dependent on the number of steps already taken in the same direction . The probabilities are evaluated from the observed frequencies of step series. With the data from all records together, this model yields patterns more similar to the observed flight paths but they still represent only a restricted range of the observed variability. The patterns obtained using the data from the different style groups or from the single records cover the full range of the observed variability and they resemble closely the observed patterns even in minute details . Thus this description model together with the data from the flight style groups is accepted as fully sufficient for the present purpose. The simulations allow the assessment of the range of chance variability . The assumptions implied in the description model were corroborated by statistical tests. The approach developed here for the quantification of the behaviour of dragonflies is generally applicable to stochastic behaviour. Um die Häufigkeit der Kämpfe zwischen Libellenmannchen am Gewässer vom Verhalten der einzelnen Individuen ableiten zu können, wurde ein dynamisches Modell des Flugverhaltens einzelner Libellen aus Freilandbeobachtungen abgeleitet. Das Modell soll ein erster Schritt zu einer realistischen Beschreibung sein, wie bei Libellen die Individuendichte durch Verhaltensinteraktionen geregelt wird. Da die Libellenmannchen streng an der Uferlinie entlang fliegen, kann ihre Flugbahn als quasi eindimensionale Bewegung aufgefaßt werden. Die Flugbahnen einzelner Männchen registrierte ich, indem ich in regelmäßigen Zeitintervallen die Nummer des'Uferabschnitts , in dem sich die Libelle gerade aufhielt, auf Tonband sprach. Die registierten Flugbahnen sind sehr verschiedenartig. Zwischen Bahnen, bei denen die Libellen immer in einer Richtung um das Gewässer kreisten, bis zu solchen, bei denen sie in einem engen Uferbereich hin and her flogen, gibt es alle Übergänge . Die Flugbahnen warden in 9 Gruppen verschiedener Flugstile eingeteilt. Der Flugstil ist temperaturabhängig and individuell verschieden. Die Strategie der Modellentwicklung war, mit einem Modell mit möglichst einfachen Voraussetzungen and Parametern zu beginnen, seine dynamische Leistung mit Simulationen zu prüfen, und die Modellbeschreibung so lange zu erweitern, bis die simulierten Flugbahnmuster den tatsächlich beobachteten Mustern gleichen. Im ersten Modell wurde die Ortsveränderung in jedem Zeitintervall mit einer stochastischen Entscheidung bestimmt, bei der Wahrscheinlichkeiten verwendet warden, die sich aus den beobachteten Haufigkeiten der Schrittweiten ergaben . Simulationen dieses Modells mit den aus allen Flugbahnregistrierungen gemeinsam ausgewerteten Daten ergaben Flugbahnmuster, die zwar manchen beobachteten ähnelten, aber nur einen kleinen Bereich der beobachteten Vielfalt darstellten. Mit den Daten aus den einzelnen Flugstilgruppen ergab sich insgesamt eine grofie Variabilitat, die simulierten Flugbahnen waren aber zu unregelmäßig and enthielten zu viele Richtungswechsel . Deshalb wurde das Modell durch einen Parameter erweitert, der für jedes Zeitintervall die Flugrichtung bestimmt. Die Wahrscheinfchkeit umzukehren hängt davon ab, wieviele Zeitintervalle bereits die gleiche Richtung beibehalten wurde . Die Wahrscheinlichkeitswerte dafür warden aus den beobachteten Haufigkeiten der Schrittserien in eine Richtung bestimmt. Dieses Modell ergibt in Simulationen mit den aus allen Registrierungen gemeinsam ausgewerteten Daten Flugbahnen, die den Originalen ähnlich sind, aber nur einen beschränkten Bereich der vielfalt darstellen. Simulationen mit den Daten aus den einzelnen Flugstilgruppen dagegen ergeben die vollebeobachtete Variabilitat and die erhaltenen Flugbahnmuster gleichen den beobachteten Originalen auch in kleinen Einzelheiten . Dieses Modell kann deshalb zusammen mit den Daten der einzelnen Flugstilgruppen als befriedigende Beschreibung des Flugverhaltens angesehen werden. Die Simulationen erlauben, den Bereich der zufälligen Variabilitat abzuschätzen . Die im Modell gemachten Annahmen warden durch statistische Tests bestätigt. Der hier zur Beschreibung des Verhaltens von Libellen entwickelte Ansatz ist allgemein anwendbar auf stochastisches Verhalten. (shrink)

Frequentist inference typically is described in terms of hypothetical repeated sampling but there are advantages to an interpretation that uses a single random sample. Contemporary examples are given that indicate probabilities for random phenomena are interpreted as classical probabilities, and this interpretation of equally likely chance outcomes is applied to statistical inference using urn models. These are used to address Bayesian criticisms of frequentist methods. Recent descriptions of p-values, confidence intervals, and power are viewed through the lens of classical probability (...) based on a single random sample from the population. (shrink)

1. Deductive and Inductive Inference. Within the traditional treatments of scientific method, e.g., in and, it was customary to divide scientific inference into two parts: deductive and inductive. Deductive inference was taken to mean the activity of deducing theorems from postulates and definitions, whereas inductive inference represented the activity of constructing a general statement from a set of particular “facts.” Deductive inference was relegated to the mathematical sciences, and inductive inference to the empirical sciences. As a consequence, the whole of (...) science was split into two quite distinct parts: deductive science was conceived to start with precise axioms, postulates, and definitions, and its method consisted in drawing inferences from these “givens” in such a way that if the original assumptions are taken as true, then the theorems must be taken as true also. The obligation behind this “must” of the mathematical sciences was an obligation based on strict rules of deductive inference; in the earlier analyses, it was supposed that these rules were all aspects of the general theory of the syllogism, as it was described in an almost complete form in but in later work the rules have been formalized in more general terms. Inductive inference, on the other hand, was supposed to start with observed facts; these facts, or “data,” were presumably given by the senses, and described particular aspects of the external world. If the facts were given in a certain way, then the empirical scientist could “infer” a generalized description; this generalization had the characteristic that if it were granted as true, then all the facts could be deduced as consequences. The inductive process admittedly does not lead to unique generalizations, and the philosopher of science searched for other defining characteristics of good inference, such as “simplicity” and “convenience.” These empirical generalizations were taken to be “descriptions of the phenomenal world of the scientist”; a further inductive step might be taken by constructing a set of very general principles out of the more specialized generalizations within specific research problems. These “higher” inductive inferences were regarded as “theories,” which could be studied by themselves within the method of deductive inference. The scientist was then described as “checking” theory by determining whether or not the predicted consequences deduced from theory actually hold in the phenomenal world. (shrink)

The past few decades have seen an explosion of research on causal reasoning in philosophy, computer science, and statistics, as well as descriptive work in psychology. In Causation with a Human Face, James Woodward integrates these lines of research and argues for an understanding of how each can inform the other: normative ideas can suggest interesting experiments, while descriptive results can suggest important normative concepts. Woodward's overall framework builds on the interventionist treatment of causation that he developed (...) in Making Things Happen. Normative ideas discussed include proposals about the role of invariant or stable relationships in successful causal reasoning and the notion of proportionality. He argues that these normative ideas are reflected in the causal judgments that people actually make as a descriptive matter. Woodward also discusses the common philosophical practice-particularly salient in philosophical accounts of causation--of appealing to intuitions or judgments about cases in support of philosophical theses. He explores how, properly understood, such appeals are not different in principle from appeals to results from empirical research, and demonstrates how they may serve as a useful source of information about causal cognition. (shrink)

Tomographic approach to describing both the states in classical statistical mechanics and the states in quantum mechanics using the fair probability distributions is reviewed. The entropy associated with the probability distribution (tomographic entropy) for classical and quantum systems is studied. The experimental possibility to check the inequalities like the position–momentum uncertainty relations and entropic uncertainty relations are considered.

This descriptive and cross-sectional study aims to evaluate academic dishonesty among university nursing students in Turkey. The study’s sample included 196 students. Two instruments were used for gathering data. The first instrument, a questionnaire, which included some socio-demographic variables (age, class, gender, education, family structure, parents’ attitude and educators’ attitude) formed the first part. The second part included the Academic Dishonesty Tendency Scale developed by Eminoğlu and Nartgün. The data were analyzed using descriptive statistics and Kruskall Wallis, (...) One-way Anova, t- test and Mann-Whitney U test. It was found that academic dishonesty was at medium-level (2.60—3.39) in nursing students. (shrink)

The connection of the structure of statistical selection procedures with measure theory is investigated. The methods of measure theory are applied in order to analyze a mathematical description of preparation and registration of physical systems that is used by G. Ludwig for a foundation of quantum mechanics.

According to van Fraassen's constructive empiricism, the epistemological aim of scientific theories is "to save the phenomena". Theories which achieve this aim are said to be empirically adequate. In an earlier paper a likelihood analysis of the empirical adequacy of simple statistical hypotheses was given. The present paper extends that likelihood analysis of empirical adequacy to composite statistical hypotheses. It is argued that for composite hypotheses the notion of likelihood is ambiguous. This ambiguity leads to a distinction between predictive adequacy, (...) based upon a prior likelihood function, and descriptive adequacy, based upon a posterior likelihood function. (shrink)

Empirical work on the use of causal language by ordinary people indicates that their causal attributions tend to be sensitive not only to purely descriptive considerations, but also to broadly moral considerations. For example, ordinary causal attributions appear to be highly sensitive to whether a behavior is permissible or impermissible. Recently, however, a consensus view has emerged that situates the role of permissibility information within a broader framework: According to the consensus, ordinary causal attributions are sensitive to whether or (...) not a behavior is generally out of the norm, where being out of the norm might indicate deviation from a prescriptive norm (a broadly moral consideration) or deviation from a statistical norm (a purely descriptive consideration). In contrast, we conjecture that ordinary causal attributions are more directly connected to broadly moral judgments about normative responsibility (the responsibility view). We present the results of a series of new experimental studies that are consistent with the responsibility view, while indicating that the consensus position is seriously mistaken. (shrink)

On the side of Niels Bohr, not to mention a few other physicists, there is an honest acknowledgment of a difficulty in understanding Einstein's objection to the “completeness” of the Ψ-function description of the quantum phenomenon. Yet the weight which Bohr himself attaches to Einstein's insistence may indicate that if the latter's difficulty could be understood, then, through the cooperation of understanding physicists, another great accomplishment of unification might be obtained which would be as fruitful for the future as either (...) or both the general theory of relativity and Bohr's statistical theory have been to the present. (shrink)

Normality judgements are frequently used in everyday communication as well as in biological and social science. Moreover they became increasingly relevant to formal logic as part of defeasible reasoning. This paper distinguishes different kinds of normality statements. It is argued that normality laws like “Birds can normally fly” should be understood essentially in a statistical way. The argument has basically two parts: firstly, a statistical semantic core is mandatory for a descriptive reading of normality in order to explain the (...) logical features of normality laws. Secondly, a statistical justification of normality statements can be derived by game theoretic considerations if the normality law is understood as communication convention. (shrink)

The spread of the COVID-19 pandemic has severely impacted all aspects of social and economic life, including the evolution of stock markets. Thus, we advance a methodological framework suitable for assessing 2020 year-long shifts in markets’ statistical complexity, and we apply such framework to ten major international developed or emerging stock markets. Our research reveals that this crisis had considerably altered markets’ evolutionary patterns. The network description of markets’ multivocal transmission of complex responses changed in 2020, European and Asian markets (...) playing a pivotal role. Nevertheless, an important regional and time heterogeneity emerges. In addition, we find that the total number of worldwide confirmed COVID-19 cases plays a leading role in the changes in markets’ complexity. (shrink)

We describe vacuum as a system of virtual particles, some of which have negative energies. Any system of vacuum particles is a part of a keneme, i.e., of a system of n particles which can, without violating the conservation laws, annihilate in the strict sense of the word (transform into nothing). A keneme is a homogeneous system, i.e., its state is invariant by all transformations of the invariance group. But a homogeneous system is not necessarily a keneme. In the simple (...) case of a spin system, where the invariance group is SU(2), a homogeneous system is a system whose total spin is unpolarized; a keneme is a system whose total spin is zero. The state of a homogeneous system is described by a statistical operator with infinite trace (von Neumann), to which corresponds a characteristic distribution. The characteristic distributions of the homogeneous systems of vacuum are defined and studied. Finally it is shown how this description of vacuum can be used to solve the frame problem posed in paper (I). (shrink)

Traditional statistical model evaluation typically relies on goodness-of-fit testing and quantifying model complexity by counting parameters. Both of these practices may result in overfitting and have thereby contributed to the generalizability crisis. The information-theoretic principle of minimum description length addresses both of these concerns by filtering noise from the observed data and consequently increasing generalizability to unseen data.