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Probability and statistical models with applications / CHARALAMBIDES, C.A.(Ed.) ; KOUTRAS, M.V.(Ed.) ; Balakrishnan, N.(Ed.) (2001)
Titre : Probability and statistical models with applications Type de document : livre Auteurs : CHARALAMBIDES, C.A.(Ed.) ; KOUTRAS, M.V.(Ed.) ; Balakrishnan, N.(Ed.) Editeur : Boca Raton : Chapman & Hall/CRC Année de publication : 2001 Importance : 624 p. ISBN/ISSN/EAN : 978-1-58488-124-7 Mots-clés : Mathematical statistics Model PROBABILITY THEORY Probability and statistical models with applications [livre] / CHARALAMBIDES, C.A.(Ed.) ; KOUTRAS, M.V.(Ed.) ; Balakrishnan, N.(Ed.) . - Boca Raton : Chapman & Hall/CRC, 2001 . - 624 p.
ISBN : 978-1-58488-124-7
Mots-clés : Mathematical statistics Model PROBABILITY THEORY Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 66553 CHA_11_66553 Livre Salle des ouvrages 11_Mathématiques Disponible
Titre : Bernoulli's fallacy: statistical illogic and the crisis of modern science Type de document : livre Auteurs : Aubrey Clayton, Auteur Editeur : New York : Columbia University Press Année de publication : 2022 Importance : 347 p. ISBN/ISSN/EAN : 978-0-231-19995-7 Prix : 24.95 USD Note générale : Paperback edition 2022 Langues : Anglais (eng) Mots-clés : Statistical methods Probability theory Mathematics Philosophy Sciences History Résumé : Le site éditeur indique : There is a logical flaw in the statistical methods used across experimental science. This fault is not a minor academic quibble: it underlies a reproducibility crisis now threatening entire disciplines. In an increasingly statistics-reliant society, this same deeply rooted error shapes decisions in medicine, law, and public policy with profound consequences. The foundation of the problem is a misunderstanding of probability and its role in making inferences from observations.
Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the seventeenth-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it. He highlights how influential nineteenth- and twentieth-century figures developed a statistical methodology they claimed was purely objective in order to silence critics of their political agendas, including eugenics.
Clayton provides a clear account of the mathematics and logic of probability, conveying complex concepts accessibly for readers interested in the statistical methods that frame our understanding of the world. He contends that we need to take a Bayesian approach—that is, to incorporate prior knowledge when reasoning with incomplete information—in order to resolve the crisis. Ranging across math, philosophy, and culture, Bernoulli’s Fallacy explains why something has gone wrong with how we use data—and how to fix it.En ligne : https://cup.columbia.edu/book/bernoullis-fallacy/9780231199940 Bernoulli's fallacy: statistical illogic and the crisis of modern science [livre] / Aubrey Clayton, Auteur . - New York : Columbia University Press, 2022 . - 347 p.
ISBN : 978-0-231-19995-7 : 24.95 USD
Paperback edition 2022
Langues : Anglais (eng)
Mots-clés : Statistical methods Probability theory Mathematics Philosophy Sciences History Résumé : Le site éditeur indique : There is a logical flaw in the statistical methods used across experimental science. This fault is not a minor academic quibble: it underlies a reproducibility crisis now threatening entire disciplines. In an increasingly statistics-reliant society, this same deeply rooted error shapes decisions in medicine, law, and public policy with profound consequences. The foundation of the problem is a misunderstanding of probability and its role in making inferences from observations.
Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the seventeenth-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it. He highlights how influential nineteenth- and twentieth-century figures developed a statistical methodology they claimed was purely objective in order to silence critics of their political agendas, including eugenics.
Clayton provides a clear account of the mathematics and logic of probability, conveying complex concepts accessibly for readers interested in the statistical methods that frame our understanding of the world. He contends that we need to take a Bayesian approach—that is, to incorporate prior knowledge when reasoning with incomplete information—in order to resolve the crisis. Ranging across math, philosophy, and culture, Bernoulli’s Fallacy explains why something has gone wrong with how we use data—and how to fix it.En ligne : https://cup.columbia.edu/book/bernoullis-fallacy/9780231199940 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 69872 CLA_21_69872 Livre Salle des ouvrages 21_Sciences_Humaines Sorti jusqu'au 25/05/2043