### DÃ©tail de l'auteur

## Auteur Aubrey Clayton |

### Documents disponibles écrits par cet auteur (1)

Ajouter le rÃ©sultat dans votre panier Affiner la recherche Interroger des sources externes

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 AnnÃ©e de publication : 2022 Importance : 347 p. ISBN/ISSN/EAN : 978-0-231-19995-7 Prix : 24.95 USD Note gÃ©nÃ©rale : Paperback edition 2022 Langues : Anglais ( eng)Mots-clÃ©s : Statistical methods Probability theory Mathematics Philosophy Sciences History RÃ©sumÃ© : Le site Ã©diteur 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 approachâ€”that is, to incorporate prior knowledge when reasoning with incomplete informationâ€”in order to resolve the crisis. Ranging across math, philosophy, and culture, Bernoulliâ€™s Fallacy explains why something has gone wrong with how we use dataâ€”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-clÃ©s : Statistical methods Probability theory Mathematics Philosophy Sciences History RÃ©sumÃ© : Le site Ã©diteur 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 approachâ€”that is, to incorporate prior knowledge when reasoning with incomplete informationâ€”in order to resolve the crisis. Ranging across math, philosophy, and culture, Bernoulliâ€™s Fallacy explains why something has gone wrong with how we use dataâ€”and how to fix it.En ligne : https://cup.columbia.edu/book/bernoullis-fallacy/9780231199940 ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 69872 CLA_21_69872 Livre Salle des ouvrages 21_Sciences_Humaines Sorti jusqu'au 25/05/2043