Results for 'statistics'

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  1. 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. Probability, Induction and Statistics: The Art of Guessing.Bruno De Finetti - 1972 - New York: John Wiley.
  5. 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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  6.  13
    ARA relief campaign in the Volga region, Jewish anthropometric statistics, and the scientific promise of integration.Marina Mogilner - 2019 - Science in Context 32 (1):5-24.
    ArgumentThe article builds a case for the Society for the Protection of the Health of the Jewish Population (Obshchestvo Okhranenia Zdorov’ia Evreiskogo Naselenia [OZE]) as a project of medicalized modernity, a mass politics of Jewish self-help that relied on a racialized and medicalized vision of a future Jewish nation. Officially registered in 1912 in St. Petersburg, it created the space for a Jewish politics that focused on the state of the collective Jewish body as a precondition for Jewish participation in (...)
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  7.  51
    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.
  8.  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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  9.  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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  10. Causal inference in statistics. An overview.Judea Pearl - 2009 - Statistics Surveys 3:96-146.
  11.  93
    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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  12.  43
    Perception of ensemble statistics requires attention.Molly Jackson-Nielsen, Michael A. Cohen & Michael A. Pitts - 2017 - Consciousness and Cognition 48:149-160.
  13.  27
    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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  14. 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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  15.  85
    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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  16. Did Pearson reject the Neyman-Pearson philosophy of statistics?Deborah G. Mayo - 1992 - Synthese 90 (2):233 - 262.
    I document some of the main evidence showing that E. S. Pearson rejected the key features of the behavioral-decision philosophy that became associated with the Neyman-Pearson Theory of statistics (NPT). I argue that NPT principles arose not out of behavioral aims, where the concern is solely with behaving correctly sufficiently often in some long run, but out of the epistemological aim of learning about causes of experimental results (e.g., distinguishing genuine from spurious effects). The view Pearson did hold gives (...)
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  17.  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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  18.  19
    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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  19. The Foundations of Statistics Reconsidered.Leonard J. Savage - 1980 - In Henry Ely Kyburg (ed.), Studies in subjective probability. Huntington, N.Y.: Krieger. pp. 173--188.
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  20.  22
    Building ethical guidelines to produce official statistics: the statistical ethics system (SETE) for the national administrative department of statistics (DANE) in Colombia.David Hernández-Zambrano, Wilson Herrera, Elizabeth Moreno Barbosa, Andrés Guzmán Botero & Ruth Baquero Quevedo - 2023 - Journal of Global Ethics 19 (3):410-425.
    This article describes and analyzes the design and functioning of the Statistical Ethics System (SETE) in Colombia’s National Statistical Office. It presents the methodology and general process of planning and implementation of the System, supported by a conceptual analysis of the requirements for an ethical functioning of official statistics. The general objective of the article is to make a practical contribution to the understanding of conceptual and practical features that ought to be considered in the implementation of an ethical (...)
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  21.  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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  22.  40
    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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  23.  20
    The role of statistics in perception.Horace Barlow - 2001 - Behavioral and Brain Sciences 24 (4):748-748.
  24.  37
    Abelson's Statistics as Principled Argument.Peter McBurney - 2001 - Informal Logic 21 (3).
  25.  25
    VIII. Some Comparative Statistics of the Cape Colony.J. X. Merrimanm - 1879 - Transactions of the Royal Society of South Africa 2 (2):57-66.
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  26.  41
    Special Issue on Spin Statistics.Edoardo Milotti, C. Curceanu, Stephen L. Adler & Michael Berry - 2010 - Foundations of Physics 40 (7):681-683.
  27.  29
    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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  28.  85
    Frequentist probability and frequentist statistics.J. Neyman - 1977 - Synthese 36 (1):97 - 131.
  29.  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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  30.  52
    Ethnographic Representation, Statistics, and Modern Power.Talal Asad - 1994 - Social Research: An International Quarterly 61:55-88.
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  31.  9
    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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  32. Rotational Invariance and the Spin-Statistics Theorem.Paul O'Hara - 2003 - Foundations of Physics 33 (9):1349-1368.
    In this article, the rotational invariance of entangled quantum states is investigated as a possible cause of the Pauli exclusion principle. First, it is shown that a certain class of rotationally invariant states can only occur in pairs. This is referred to as the coupling principle. This in turn suggests a natural classification of quantum systems into those containing coupled states and those that do not. Surprisingly, it would seem that Fermi–Dirac statistics follows as a consequence of this coupling (...)
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  33.  21
    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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  34. 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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  35.  39
    Rules vs. Statistics in Implicit Learning of Biconditional Grammars.Bert Timmermans - unknown
    A significant part of everyday learning occurs incidentally — a process typically described as implicit learning. A central issue in this domain and others, such as language acquisition, is the extent to which performance depends on the acquisition and deployment of abstract rules. Shanks and colleagues [22], [11] have suggested (1) that discrimination between grammatical and ungrammatical instances of a biconditional grammar requires the acquisition and use of abstract rules, and (2) that training conditions — in particular whether instructions orient (...)
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  36.  35
    A probabilistic foundation of elementary particle statistics. Part I.Domenico Costantini & Ubaldo Garibaldi - 1997 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 28 (4):483-506.
    The long history of ergodic and quasi-ergodic hypotheses provides the best example of the attempt to supply non-probabilistic justifications for the use of statistical mechanics in describing mechanical systems. In this paper we reverse the terms of the problem. We aim to show that accepting a probabilistic foundation of elementary particle statistics dispenses with the need to resort to ambiguous non-probabilistic notions like that of (in)distinguishability. In the quantum case, starting from suitable probability conditions, it is possible to deduce (...)
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  37.  51
    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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  38.  40
    Emancipation Through Interaction – How Eugenics and Statistics Converged and Diverged.Francisco Louçã - 2009 - Journal of the History of Biology 42 (4):649 - 684.
    The paper discusses the scope and influence of eugenics in defining the scientific programme of statistics and the impact of the evolution of biology on social scientists. It argues that eugenics was instrumental in providing a bridge between sciences, and therefore created both the impulse and the institutions necessary for the birth of modern statistics in its applications first to biology and then to the social sciences. Looking at the question from the point of view of the history (...)
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  39. 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:
  40.  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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  41.  75
    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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  42. Other issues in statistics II (subgroup analysis and meta-analysis).Jorge Leite & Munir Boodhwani - 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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  43.  6
    Proximities in statistics: Similarity and distance.Hans-J. Lenz - 2008 - In Giacomo Della Riccia, Didier Dubois & Hans-Joachim Lenz (eds.), Preferences and Similarities. Springer. pp. 161--177.
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  44.  5
    Principles of medical statistics.Grace G. Leybourne - 1937 - The Eugenics Review 29 (3):212.
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  45.  4
    Quality control procedures at statistics sweden.Lars Lyberg - 1985 - History and Philosophy of Logic 14 (11).
  46. On the foundations of statistics.Ian Hacking - 1964 - British Journal for the Philosophy of Science 15 (57):1-26.
  47. Tipper Discovers Statistics.Berrie Heesen - 2003 - Analytic Teaching and Philosophical Praxis 23 (1):69-71.
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  48.  1
    A new classification of statistics.John L. Roberts - 1937 - Philosophy of Science 4 (2):283-284.
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    America's Uninsured: The Statistics and Back Story.Diane Rowland & Adele Shartzer - 2008 - Journal of Law, Medicine and Ethics 36 (4):618-628.
    This article provides an overview of why health insurance matters, a profile of the uninsured, and a discussion of the roles and limits of private and public health insurance as sources of coverage. It concludes with reflections on the current health insurance environment and prospects for reform.
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  50.  12
    America's Uninsured: The Statistics and Back Story.Diane Rowland & Adele Shartzer - 2008 - Journal of Law, Medicine and Ethics 36 (4):618-628.
    This article defines the problem of the uninsured. It begins with an overview of why health insurance matters and presents a profile of the uninsured. It then discusses the roles and limits of private and public health insurance as sources of coverage for the nonelderly population. The article concludes with reflections on the current health insurance environment and prospects for reform.The large and growing number of uninsured people is of concern because health coverage makes a difference in whether and when (...)
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