Results for 'statistics'

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  1.  30
    The Foundations of Statistics.Leonard J. 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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  2. The Foundations of Statistics.Leonard J. Savage - 1956 - Philosophy of Science 23 (2):166-166.
     
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  3. The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.
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  4. 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.  9
    Probability, Induction and Statistics: The Art of Guessing.Bruno De Finetti - 1972 - New York: John Wiley.
  6.  35
    “Let’s build an Anscombe box”: assessing Anscombe’s rebuttal of the statistics objection against indeterminism-based free agency.Thomas Müller - 2022 - Synthese 200 (2):1-22.
    Towards the end of her famous 1971 paper “Causality and Determination”, Elizabeth Anscombe discusses the controversial idea that “ ‘physical haphazard’ could be the only physical correlate of human freedom of action”. In order to illustrate how the high-level freedom of human action can go together with micro-indeterminism without creating a problem for micro-statistics, she provides the analogy of a glass box filled with minute coloured particles whose micro-dynamics is subject to statistical laws, while its outside reliably displays a (...)
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  7.  27
    Thoughts on Jun Otsuka’s Thinking about Statistics – the Philosphical Foundations.Elliott Sober - 2024 - Asian Journal of Philosophy 3 (1):1-11.
    Jun Otsuka’s excellent book, Thinking about Statistics - the Philosophical Foundations (Otsuka 2023) is mostly organized around the idea that different statistical approaches can be illuminated by linking them to different ideas in general epistemology. Otsuka connects Bayesianism to internalism and foundationalism, frequentism to reliabilism, and the Akaike Information Criterion in model selection theory to instrumentalism. This useful mapping doesn’t cover all the interesting ideas he presents. His discussions of causal inference and machine learning are philosophically insightful, as is (...)
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  8. Consciousness without Report: Insights from Summary Statistics and Inattention ‘Blindness’.Marius Usher, Zohar Bronfman, Shiri Talmor, Hilla Jacobson & Baruch Eitam - 2018 - Philosophical Transactions of the Royal Society B: Biological Sciences 373 (1755).
    We contrast two theoretical positions on the relation between phenomenal and access consciousness. First, we discuss previous data supporting a mild Overflow position, according to which transient visual awareness can overflow report. These data are open to two interpretations: (i) observers transiently experience specific visual elements outside attentional focus without encoding them into working memory; (ii) no specific visual elements but only statistical summaries are experienced in such conditions. We present new data showing that under data-limited conditions observers cannot discriminate (...)
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  9. Inductive Logic and Statistics.Jan Willem Romeijn - 2009 - In Dov Gabbay (ed.), The Handbook of the History of Logic. Elsevier. pp. 625--650.
     
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  10.  15
    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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  11. The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis.Jie Zheng, Marcelline R. Harris, Anna Maria Masci, Lin Yu, Alfred Hero, Barry Smith & Yongqun He - 2016 - Journal of Biomedical Semantics 7 (53).
    Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving those results because they provide inadequate documentation of the statistical tests and algorithms applied. The Ontology of Biological and Clinical Statistics (OBCS) is put forward here as a step towards solving this problem. Terms in OBCS, including ‘data collection’, ‘data transformation in statistics’, ‘data (...)
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  12.  51
    ‘Interview’, Probability and Statistics: 5 Questions.Luc Bovens - 2009 - In Vincent Hendricks & Alan Hajek (eds.), Probability and Statistics: 5 Questions. Birkerød, Denmark: Automatic Press. pp. 13-28.
  13. Causal inference in statistics. An overview.Judea Pearl - 2009 - Statistics Surveys 3:96-146.
  14.  7
    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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  15.  24
    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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  16.  11
    Temporal and spatial ensemble statistics are formed by distinct mechanisms.Haojiang Ying, Edwin J. Burns J., Amanda M. Choo & Hong Xu - 2020 - Cognition 195 (C):104128.
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  17. Evidence in classical statistics.Samuel C. Fletcher & Conor Mayo-Wilson - 2024 - In Maria Lasonen-Aarnio & Clayton Littlejohn (eds.), The Routledge Handbook of the Philosophy of Evidence. New York, NY: Routledge.
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  18.  12
    Subcortical encoding of summary statistics in humans.Yuqing Zhao, Ting Zeng, Tongyu Wang, Fang Fang, Yi Pan & Jianrong Jia - 2023 - Cognition 234 (C):105384.
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  19.  12
    The Philosophy of Quantitative Methods: Understanding Statistics.Brian D. Haig - 2018 - Oup Usa.
    The Philosophy of Quantitative Methods undertakes a philosophical examination of a number of important quantitative research methods within the behavioral sciences in order to overcome the non-critical approaches typically provided by textbooks. These research methods are exploratory data analysis, statistical significance testing, Bayesian confirmation theory and statistics, meta-analysis, and exploratory factor analysis. Further readings are provided to extend the reader's overall understanding of these methods.
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  20.  10
    Frequentist probability and frequentist statistics.J. Neyman - 1977 - Synthese 36 (1):97 - 131.
  21.  8
    Young, Gay, and Suicidal: Dynamic Nominalism and the Process of Defining a Social Problem with Statistics.Tom Waidzunas - 2012 - Science, Technology, and Human Values 37 (2):199-225.
    Since 1989, widely circulating statistics on gay teen suicide in the United States have acted as catalysts for institutional reforms, scientific research, and the creation of an identity category “gay youth.” While one figure has been replicated scientifically, these numbers originated not from a scientific research study but as risk estimates developed by a social worker and published in a government document. Many people within the public took up these original numbers, attributing their author the status of scientific researcher. (...)
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  22.  18
    SUSY, Spin-Statistics, and all that... On the contrast between Spin-Statistics and Wigner’s Theorem.Marco Sanchioni & Enrico Cinti - forthcoming - British Journal for the Philosophy of Science.
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  23. Symmetry, Invariance and Ontology in Physics and Statistics.Julio Michael Stern - 2011 - Symmetry 3 (3):611-635.
    This paper has three main objectives: (a) Discuss the formal analogy between some important symmetry-invariance arguments used in physics, probability and statistics. Specifically, we will focus on Noether’s theorem in physics, the maximum entropy principle in probability theory, and de Finetti-type theorems in Bayesian statistics; (b) Discuss the epistemological and ontological implications of these theorems, as they are interpreted in physics and statistics. Specifically, we will focus on the positivist (in physics) or subjective (in statistics) interpretations (...)
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  24. The Foundations of Statistics Reconsidered.Leonard J. Savage - 1964 - In Henry Ely Kyburg (ed.), Studies in subjective probability. Huntington, N.Y.: Krieger. pp. 173--188.
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  25.  5
    Cpt Invariance and the Spin-Statistics Connection.Jonathan Bain - 2016 - Oxford University Press UK.
    This book seeks to answer the question "What explains CPT invariance and the spin-statistics connection?" These properties play foundational roles in relativistic quantum field theories, are supported by high-precision experiments, and figure into explanations of a wide range of phenomena, from antimatter, to the periodic table of the elements, to superconductors and superfluids. They can be derived in RQFTs by means of the famous CPT and Spin-Statistics theorems; but, the author argues, these theorems cannot be said to explain (...)
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  26.  8
    Limited memory for ensemble statistics in visual change detection.William J. Harrison, Jessica M. V. McMaster & Paul M. Bays - 2021 - Cognition 214 (C):104763.
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  27.  1
    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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  28.  25
    Infinitesimal idealization, easy road nominalism, and fractional quantum statistics.Elay Shech - 2019 - Synthese 196 (5):1963-1990.
    It has been recently debated whether there exists a so-called “easy road” to nominalism. In this essay, I attempt to fill a lacuna in the debate by making a connection with the literature on infinite and infinitesimal idealization in science through an example from mathematical physics that has been largely ignored by philosophers. Specifically, by appealing to John Norton’s distinction between idealization and approximation, I argue that the phenomena of fractional quantum statistics bears negatively on Mary Leng’s proposed path (...)
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  29.  4
    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.
  30.  2
    The lady tasting tea: how statistics revolutionized science in the twentieth century.David Salsburg - 2001 - New York: W.H. Freeman.
    Discusses how statistics have changed the field of science in the twentieth century, focusing on the theories and ideas of famous scientists and thinkers.
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  31.  13
    Thermodynamic Entropy in Quantum Statistics for Stock Market Networks.Jianjia Wang, Chenyue Lin & Yilei Wang - 2019 - Complexity 2019:1-11.
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  32.  10
    The Work of E. T. Jaynes on Probability, Statistics and Statistical Physics. [REVIEW]E. T. Jaynes & R. D. Rosenkrantz - 1985 - British Journal for the Philosophy of Science 36 (2):193-210.
    An important contribution to the foundations of probability theory, statistics and statistical physics has been made by E. T. Jaynes. The recent publication of his collected works provides an appropriate opportunity to attempt an assessment of this contribution.
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  33.  8
    On how statistics is used and abused to find truth in Science.Tiago A. Marques - 2020 - Kairos 24 (1):91-104.
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  34. OF WEIGHTING AND COUNTING: STATISTICS AND ONTOLOGY IN THE OLD QUANTUM THEORY.Massimiliano Badino - forthcoming - In Oxford Handbook of the History of Interpretations and Foundations of Quantum Mechanics. Oxford, Regno Unito:
  35.  11
    Semantics versus statistics in the retreat from locative overgeneralization errors.Ben Ambridge, Julian M. Pine & Caroline F. Rowland - 2012 - Cognition 123 (2):260-279.
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  36. Basics of statistics.Claudia Kimie Suemoto & Catherine Lee - 2018 - In Felipe Fregni & Ben M. W. Illigens (eds.), Critical thinking in clinical research: applied theory and practice using case studies. New York, NY: Oxford University Press.
     
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  37.  11
    On the foundations of statistics.Ian Hacking - 1964 - British Journal for the Philosophy of Science 15 (57):1-26.
  38. Philosophy and Suicide-Statistics in Austria-Hungary: Variation on a Theme of Masaryk.J. C. Nyiri - 1988 - In On Masaryk. Amsterdam: Rodopi. pp. 291-316.
    In his book The Austrian Mind (1972) W. M. Johnston observes that between 1861 and 1938 a striking number of Austrian intellectuals committed uicide. He also remarks that prior to 1920 suicide was relatively rare among Hungarian intellectuals, and as a possible explanation he refers to their more intensive political activity. The present paper investigates relations between a society's intellectual life and its general suicidal tendencies. In so doing it takes up a central theme of T. G. Masaryk's Suicide as (...)
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  39.  7
    Legal Evidence and Proof: Statistics, Stories, Logic.Hendrik Kaptein - 2008 - Ashgate. Edited by Henry Prakken & Bart Verheij.
    With special attention being paid to recent developments in Artificial Intelligence and the Law, specifically related to evidentiary reasoning, this book ...
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  40.  5
    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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  41.  17
    Selected Papers in Statistics and Probability by Abraham Wald. T. W. Anderson.Samuel E. Gluck - 1956 - Philosophy of Science 23 (2):164-166.
  42.  70
    Foundation of Appurtenance and Inclusion Equations for Constructing the Operations of Neutrosophic Numbers Needed in Neutrosophic Statistics Foundation of Appurtenance and Inclusion Equations for Constructing the Operations of Neutrosophic Numbers Needed in Neutrosophic Statistics.Florentin Smarandache - 2024 - Neutrosophic Systems with Applications 15.
    We introduce for the first time the appurtenance equation and inclusion equation, which help in understanding the operations with neutrosophic numbers within the frame of neutrosophic statistics. The way of solving them resembles the equations whose coefficients are sets (not single numbers).
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  43. On the mathematical foundations of theoretical statistics.R. A. Fisher - 1922 - Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character 222 (594-604):309-368.
    On the mathematical foundations of theoretical statistics.
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  44. Handbook of Demonstrations and Activities in the Teaching of Psychology, Second Edition: Volume I: Introductory, Statistics, Research Methods, and History.Mark E. Ware & David E. Johnson (eds.) - 2000 - Psychology Press.
    For those who teach students in psychology, education, and the social sciences, the _Handbook of Demonstrations and Activities in the Teaching of Psychology, Second Edition_ provides practical applications and rich sources of ideas. Revised to include a wealth of new material, these invaluable reference books contain the collective experience of teachers who have successfully dealt with students' difficulty in mastering important concepts about human behavior. Each volume features a table that lists the articles and identifies the primary and secondary courses (...)
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  45.  8
    A field guide to lies: critical thinking with statistics and the scientific method.Daniel J. Levitin - 2016 - [New York]: Dutton.
    Winner of the National Business Book Award From the New York Times bestselling author of The Organized Mind and This Is Your Brain on Music, a primer to the critical thinking that is more necessary now than ever We are bombarded with more information each day than our brains can process—especially in election season. It's raining bad data, half-truths, and even outright lies. New York Times bestselling author Daniel J. Levitin shows how to recognize misleading announcements, statistics, graphs, and (...)
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  46.  3
    Social significance of a virtual environment for the teaching and learning of descriptive Statistics in Medicine degree course.Sandra López Lamezón, Roberto Rodríguez López, Luis Manuel Amador Aguilar & Luis Mariano Azcuy Lorenz - 2018 - Humanidades Médicas 18 (1):50-63.
    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 (...)
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  47.  23
    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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  48.  7
    Chinese Economic Statistics; A Handbook for Mainland China.E. H. S. & Nai-Ruenn Chen - 1968 - Journal of the American Oriental Society 88 (2):366.
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  49.  1
    The dilemma of statistics: Rigorous mathematical methods cannot compensate messy interpretations and lousy data.Peter Schuster - 2014 - Complexity 20 (1):11-15.
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  50.  13
    Making sense of health statistics?Eyal Shahar - 2009 - Journal of Evaluation in Clinical Practice 15 (6):1217-1219.
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