Results for 'Statistics Miscellanea'

967 found
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  1.  8
    Studies show: a popular guide to understanding scientific studies.John Fennick - 1997 - Amherst, NY: Prometheus Books.
    If you're not sure what to make of all the claims and counterclaims, this new book will help cut through the conflicting reports and contradictory findings. We are bombarded daily with media reports of startling new findings from "just released" studies often in major, authoritative publications on consumer products, medications, foods, alcohol, safety devices, social behavior, public policy, and much more. The decisions of millions of consumers, professionals, and government agencies can be influenced by just one study. Light, humorous, and (...)
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  2. Collected Papers (on various scientific topics), Volume XIII.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; (...)
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  3.  27
    La fede di Gesù nel Nuovo Testamento. Considerazioni esegetiche a partire dall'interpretazione dell'espressione pistis Iesou Christou.Dinh Anh Nhue Nguyen - 2013 - Miscellanea Francescana 113 (1):7.
    This article is a review and critical evaluation of the New Testament expressions that speak about the faith of Jesus beginning with the much discussed pistis Iesou Christou 'faith of/in Jesus Christ'. It is divided into three parts: (1) statistics of the New Testament expressions regarding the faith of Jesus, (2) historico-exegetical considerations of pistis Iesou Christou as 'faith of Jesus Christ' or 'faith in Jesus Christ', and (3) other key phrases that imply the faith of Christ. This leads (...)
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  4.  2
    I will abbreviate the causal law, C causes E by C—> E. Notice that C and E are to be filled in by general terms, and not names of particulars; for example, Force causes motion or Aspinn relieves hendache. The generic law C causes E is not to be understood as a universally quantified law about particulars, even about.Ii Statistical Analyses Of Causation - 1999 - In Michael Tooley (ed.), Laws of nature, causation, and supervenience. New York: Garland. pp. 246.
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  5. (1 other version)The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.
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  6. Why do we need to employ Bayesian statistics and how can we employ it in studies of moral education?: With practical guidelines to use JASP for educators and researchers.Hyemin Han - 2018 - Journal of Moral Education 47 (4):519-537.
    ABSTRACTIn this article, we discuss the benefits of Bayesian statistics and how to utilize them in studies of moral education. To demonstrate concrete examples of the applications of Bayesian statistics to studies of moral education, we reanalyzed two data sets previously collected: one small data set collected from a moral educational intervention experiment, and one big data set from a large-scale Defining Issues Test-2 survey. The results suggest that Bayesian analysis of data sets collected from moral educational studies (...)
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  7.  18
    Science with or without statistics: Discover-generalize-replicate? Discover-replicate-generalize?John P. A. Ioannidis - 2022 - Behavioral and Brain Sciences 45.
    Overstated generalizability is common in research. It may coexist with inflation of the magnitude and statistical support for effects and dismissal of internal validity problems. Generalizability may be secured before attempting replication of proposed discoveries or replication may precede efforts to generalize. These opposite approaches may decrease or increase, respectively, the use of inferential statistics with advantages and disadvantages.
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  8.  8
    Bootstrapping U-statistics with estimated parameters.Paul Janssen & Noël Veraverbeke - 1992 - History and Philosophy of Logic 21 (6):1585-1603.
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  9. The Foundations of Statistics.Leonard Savage - 1954 - Wiley Publications in Statistics.
    Classic analysis of the subject and the development of personal probability; one of the greatest controversies in modern statistcal thought.
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  10. Cigarettes, cancer, and statistics.R. A. Fisher - 1958 - Centennial Review 2:151-166.
  11.  28
    The role of statistics in perception.Horace Barlow - 2001 - Behavioral and Brain Sciences 24 (4):748-748.
  12.  29
    Trend Analysis of Statistics. Max Sasuly.H. Davis - 1936 - Isis 25 (2):491-493.
  13. Frequentist probability and frequentist statistics.J. Neyman - 1977 - Synthese 36 (1):97 - 131.
  14. (1 other version)Statistics, pragmatics, induction.C. West Churchman - 1948 - Philosophy of Science 15 (3):249-268.
    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 (...)
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  15. Mathematics Performance and Self-efficacy as Correlates of Statistics and Probability Achievement of Students.Jeraldine Immariz Dumaguit, Ronel Dagohoy, Leomarich Casinillo & Melbert Hungo - 2025 - Canadian Journal of Family and Youth 17 (1):16-36.
    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 (...)
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  16.  29
    When learning goes beyond statistics: Infants represent visual sequences in terms of chunks.Lauren K. Slone & Scott P. Johnson - 2018 - Cognition 178 (C):92-102.
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  17.  53
    Using balance statistics to determine the optimal number of controls in matching studies.Ariel Linden & Steven J. Samuels - 2013 - Journal of Evaluation in Clinical Practice 19 (5):968-975.
  18.  8
    Don't Focus on Statistics.Fauvre Mary - 2017 - Narrative Inquiry in Bioethics 7 (2):116-118.
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  19.  8
    Utility of Alternative Effect Size Statistics and the Development of a Web-Based Calculator: Shiny-AESC.Don C. Zhang - 2018 - Frontiers in Psychology 9:401660.
    Alternative displays of effect size statistics can enhance the understandability and impact of validity evidence in a variety of applied settings. Arguably, the proliferation of alternative effect size statistics has been limited due to the lack of user-friendly tools to create them. Common statistical packages do not readily produce these alternative effect sizes and existing tools are outdated and inaccessible. In this paper, I introduce a free-to-use web-based calculator (https://dczhang.shinyapps.io/expectancyApp/) for generating alternative effect size displays from empirical data. (...)
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  20.  21
    Conceptual Problems in Statistics, Testing and Experimentation.David Danks & Frederick Eberhardt - unknown
  21.  23
    On the Frontier of The Empire of Chance : Statistics, Accidents, and Risk in Industrializing America.Arwen Mohun - 2005 - Science in Context 18 (3):337-357.
    In The Empire of Chance, historians of science Gigerenzer et al. argue that statistical thinking has been “second to no other area of scientific endeavor” in its influence on “modern life and thought”. This article describes how quantitative descriptions of risk associated with industrialization and technological change became part of the mentality of ordinary Americans. It explains why Americans began counting accidents, tells what kinds of accidents they counted and how they counted them, and shows how statistical representations of risk (...)
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  22.  16
    Testing Simulation Models Using Frequentist Statistics.Andrew P. Robinson - 2019 - In Claus Beisbart & Nicole J. Saam (eds.), Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Springer Verlag. pp. 465-496.
    One approach to validating simulation models is to formally compare model outputs with independent data. We consider such model validation from the point of view of Frequentist statistics. A range of estimates and tests of goodness of fit have been advanced. We review these approaches, and demonstrate that some of the tests suffer from difficulties in interpretation because they rely on the null hypothesisHypothesis that the model is similar to the observationsObservations. This reliance creates two unpleasant possibilities, namely, a (...)
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  23. Unusual coincidences, statistics and an intelligent influence.Sergei Chekanov - manuscript
    This paper argues that unusual coincidences, particularly those involving historical events, can be viewed as design patterns, suggesting an intelligent influence over the course of events. A compelling case examined in detail using probability theory concerns the presidencies of Abraham Lincoln (1809–1865) and John F. Kennedy (1917–1963). This and other coincidences involving historical figures disfavor the materialistic perspective and point to the presence of an intelligent agent acting on a global scale, beyond the arrow of time, influencing human lives and (...)
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  24.  40
    More is Better: English Language Statistics are Biased Toward Addition.Bodo Winter, Martin H. Fischer, Christoph Scheepers & Andriy Myachykov - 2023 - Cognitive Science 47 (4):e13254.
    We have evolved to become who we are, at least in part, due to our general drive to create new things and ideas. When seeking to improve our creations, ideas, or situations, we systematically overlook opportunities to perform subtractive changes. For example, when tasked with giving feedback on an academic paper, reviewers will tend to suggest additional explanations and analyses rather than delete existing ones. Here, we show that this addition bias is systematically reflected in English language statistics along (...)
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  25.  8
    Early Influences on Probability and Statistics in the Russian Empire.E. Seneta - 1998 - Archive for History of Exact Sciences 53 (3 - 4):201-213.
    Historiography of the development of probability and statistics in the Russian Empire focusses on the contributions of the central figure Pafnutiy Lvovich Chebyshev and his successors. The purpose of this article is to concentrate on an earlier period which culminates with Chebyshev, and specifically on two less-than-well-explored aspects.
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  26. Methodology and Statistics in Single‐Subject Experiments.Norman H. Anderson - 2002 - In J. Wixted & H. Pashler (eds.), Stevens' Handbook of Experimental Psychology. Wiley.
     
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  27. Causation, Decision, Belief Change and Statistics.Wolfgang Spohn - 1988 - Kluwer Academic Publishers.
     
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  28. Duhem's problem, the bayesian way, and error statistics, or "what's belief got to do with it?".Deborah G. Mayo - 1997 - Philosophy of Science 64 (2):222-244.
    I argue that the Bayesian Way of reconstructing Duhem's problem fails to advance a solution to the problem of which of a group of hypotheses ought to be rejected or "blamed" when experiment disagrees with prediction. But scientists do regularly tackle and often enough solve Duhemian problems. When they do, they employ a logic and methodology which may be called error statistics. I discuss the key properties of this approach which enable it to split off the task of testing (...)
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  29.  23
    Axioms in science, classical statistics, and parapsychological research.J. Barnard Gilmore - 1987 - Behavioral and Brain Sciences 10 (4):588.
  30.  56
    Stochastic electrodynamics. III. Statistics of the perturbed harmonic oscillator-zero-point field system.G. H. Goedecke - 1983 - Foundations of Physics 13 (12):1195-1220.
    In this third paper in a series on stochastic electrodynamics (SED), the nonrelativistic dipole approximation harmonic oscillator-zero-point field system is subjected to an arbitrary classical electromagnetic radiation field. The ensemble-averaged phase-space distribution and the two independent ensemble-averaged Liouville or Fokker-Planck equations that it satisfies are derived in closed form without furtner approximation. One of these Liouville equations is shown to be exactly equivalent to the usual Schrödinger equation supplemented by small radiative corrections and an explicit radiation reaction (RR) vector potential (...)
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  31. On the explanation for quantum statistics.Simon Saunders - 2006 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 37 (1):192-211.
    The concept of classical indistinguishability is analyzed and defended against a number of well-known criticisms, with particular attention to the Gibbs’paradox. Granted that it is as much at home in classical as in quantum statistical mechanics, the question arises as to why indistinguishability, in quantum mechanics but not in classical mechanics, forces a change in statistics. The answer, illustrated with simple examples, is that the equilibrium measure on classical phase space is continuous, whilst on Hilbert space it is discrete. (...)
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  32. Probability, Induction and Statistics: The Art of Guessing.Bruno De Finetti - 1972 - New York: John Wiley.
  33.  48
    Selected Papers in Statistics and Probability by Abraham Wald. T. W. Anderson.Samuel E. Gluck - 1956 - Philosophy of Science 23 (2):164-166.
  34.  21
    Ect: Sham Statistics, The Myth Of Convulsive Therapy, And The Case For Consumer Misinformation.Douglas Cameron - 1994 - Journal of Mind and Behavior 15 (1-2):177-198.
    This paper emphasizes that, contrary to the claims of ECT experts and the ECT industry, a majority, not "a small minority," of ECT recipients sustain permanent memory dysfunction each year as a result of ECT. The paper exposes the convulsion hypothesis, upon which ECT is allegedly based, as mythological. Finally, through hidden and comparative electrical parameters, it exposes the extreme destructive power of today's "new and improved" ECT devices.
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  35.  6
    Quality control procedures at statistics sweden.Lars Lyberg - 1985 - History and Philosophy of Logic 14 (11).
  36.  66
    Collectivist Foundations for Bayesian Statistics.Conor Mayo-Wilson & Aditya Saraf - unknown
    What justifies the use of Bayesian statistics in science? The traditional answer is that Bayesian statistics is simply an instance of orthodox expected utility theory. Thus, Bayesian statistical methods, like principles of utility theory, are justified by norms of individual rationality. In particular, most Bayesians argue that a scientist's credences must satisfy the probability axioms if she adheres to norms of practical and epistemic rationality. We argue that, to justify Bayesian statistics as a tool for science, it (...)
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  37.  43
    The foundations of statistics.P. C. Mahalanobis - 1954 - Dialectica 8 (2):95-111.
  38.  33
    Paleontology and Darwin’s Theory of Evolution: The Subversive Role of Statistics at the End of the 19th Century.Marco Tamborini - 2015 - Journal of the History of Biology 48 (4):575-612.
    This paper examines the subversive role of statistics paleontology at the end of the 19th and the beginning of the 20th centuries. In particular, I will focus on German paleontology and its relationship with statistics. I argue that in paleontology, the quantitative method was questioned and strongly limited by the first decade of the 20th century because, as its opponents noted, when the fossil record is treated statistically, it was found to generate results openly in conflict with the (...)
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  39.  19
    Kendall׳s shape statistics as a classical realization of Barbour-type timeless records theory approach to quantum gravity.Edward Anderson - 2015 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 51:1-8.
  40. Natural scene statistics and salient visual features.Christoph Zetzsche - 2005 - In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press. pp. 226--232.
  41.  57
    Perception of ensemble statistics requires attention.Molly Jackson-Nielsen, Michael A. Cohen & Michael A. Pitts - 2017 - Consciousness and Cognition 48:149-160.
  42. Some issues in the foundation of statistics.David Freedman - 1995 - Foundations of Science 1 (1):19-39.
    After sketching the conflict between objectivists and subjectivists on the foundations of statistics, this paper discusses an issue facing statisticians of both schools, namely, model validation. Statistical models originate in the study of games of chance, and have been successfully applied in the physical and life sciences. However, there are basic problems in applying the models to social phenomena; some of the difficulties will be pointed out. Hooke's law will be contrasted with regression models for salary discrimination, the latter (...)
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  43.  31
    The summation method in statistics.H. S. Razran & M. E. Wagner - 1931 - Journal of Experimental Psychology 14 (3):270.
  44.  23
    A transformation of Bayesian statistics:Computation, prediction, and rationality.Johannes Lenhard - 2022 - Studies in History and Philosophy of Science Part A 92 (C):144-151.
  45.  35
    Probability and Statistics in the Tinbergen-Keynes Debates.William Peden - 2022 - Erasmus Journal for Philosophy and Economics 15 (2):aa–aa.
    As part of a book symposium on Erwin Dekker's Jan Tinbergen (1903–1994) and the Rise of Economic Expertise (2021), William Peden reflects on shared views on the objectivity and nature of statistics between Tinbergen and Keynes underlying the Tinbergen-Keynes debates.
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  46.  32
    The law's Aversion to Naked Statistics and Other Mistakes.Ronald J. Allen & Christopher K. Smiciklas - 2022 - Legal Theory 28 (3):179-209.
    A vast literature has developed probing the law's aversion to statistical/probability evidence in general and its rejection of naked statistical evidence in particular. This literature rests on false premises. At least so far as US law is concerned, there is no general aversion to statistical forms of proof and even naked statistics are admissible and sufficient for a verdict when the evidentiary proffer meets the normal standards of admissibility, the most important of which is reliability. The belief to the (...)
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  47.  53
    On the Geometry of the Berry-Robbins Approach to Spin-Statistics.Nikolaos Papadopoulos & Andrés F. Reyes-Lega - 2010 - Foundations of Physics 40 (7):829-851.
    Within a geometric and algebraic framework, the structures which are related to the spin-statistics connection are discussed. A comparison with the Berry-Robbins approach is made. The underlying geometric structure constitutes an additional support for this approach. In our work, a geometric approach to quantum indistinguishability is introduced which allows the treatment of singlevaluedness of wave functions in a global, model independent way.
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  48. Lies, damned lies, and statistics: An empirical investigation of the concept of lying.Adam J. Arico & Don Fallis - 2013 - Philosophical Psychology 26 (6):790 - 816.
    There are many philosophical questions surrounding the notion of lying. Is it ever morally acceptable to lie? Can we acquire knowledge from people who might be lying to us? More fundamental, however, is the question of what, exactly, constitutes the concept of lying. According to one traditional definition, lying requires intending to deceive (Augustine. (1952). Lying (M. Muldowney, Trans.). In R. Deferrari (Ed.), Treatises on various subjects (pp. 53?120). New York, NY: Catholic University of America). More recently, Thomas Carson (2006. (...)
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  49.  79
    The Relation of Constraints on Particle Statistics for Different Species of Particles.O. W. Greenberg & Robert C. Hilborn - 1999 - Foundations of Physics 29 (3):397-407.
    Quons are particles characterized by the parameter q, which permits smooth interpolation between Bose and Fermi statistics; q = 1 gives bosons, q = -1 gives fermions. In this paper we give a heuristic argument for an extension of conservation of statistics to quons with trilinear couplings of the form ffb, where f is fermion-like and b is boson-like. We show that q f 2 = qb. In particular, we relate the bound on qγ for photons to the (...)
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  50.  32
    Doing Justice to the Future: A global index of intergenerational solidarity derived from national statistics.Jamie McQuilkin - 2018 - Intergenerational Justice Review 4 (1).
    This paper proposes an index of national levels of “intergenerational solidarity”, defined as “investments or sacrifices that are intended to increase or sustain the wellbeing of future generations”. This is measured by examining changes to the value and stability of various capital flows and stocks. Nine indicators are drawn from national-level statistics: forest degradation rate, share of low-carbon energy consumption, and carbon footprint in the environmental dimension; adjusted net savings, current account balance, and wealth in equality in the economic (...)
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