A history of the central limit theorem : from classical to modern probability theory

This study aims to embed the history of the central limit theorem within the history of the development of probability theory from its classical to its modern shape, and, more generally, within the corresponding development of mathematics. The history of the central limit theorem is not only express...

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Главный автор: Fischer, Hans, 1939-...., mathématicien
Формат: Livre numérique
Язык:Anglais
Опубликовано: New York, NY : Springer New York [20..].
Cham : Springer Nature
Редактирование:1st ed. 2011.
Серии:Sources and Studies in the History of Mathematics and Physical Sciences
Предметы:
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Примечание: Description d'après consultation du 20 avril 2012
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• A History of the Central Limit Theorem, Texte imprimé, 9780387879420
• A history of the central limit theorem, from classical to modern probability theory, Hans Fischer, 2011, New York, Springer, 1 vol. (XVI-402 p.), Sources and studies in the history of mathematics and physical sciences, 978-0-387-87856-0
• A History of the Central Limit Theorem, Texte imprimé, 9781461427018
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245 1 0 |a A history of the central limit theorem :  |b from classical to modern probability theory   |c Hans Fischer. 
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500 |a Archives Springer e-books (Licence nationale) 
504 |a Bibliogr. p. 363-391 Index p. 392-400 
505 1 |a Preface Introduction The central limit theorem from laplace to cauchy: changes in stochastic objectives and in analytical methods The hypothesis of elementary errors Chebyshev's and markov's contributions The way towards modern probability General limit problems Conclusion: the central limit theorem as a link between classical and modern probability Index Bibliography. 
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520 |a This study aims to embed the history of the central limit theorem within the history of the development of probability theory from its classical to its modern shape, and, more generally, within the corresponding development of mathematics. The history of the central limit theorem is not only expressed in light of "technical" achievement, but is also tied to the intellectual scope of its advancement. The history starts with Laplace's 1810 approximation to distributions of linear combinations of large numbers of independent random variables and its modifications by Poisson, Dirichlet, and Cauchy, and it proceeds up to the discussion of limit theorems in metric spaces by Donsker and Mourier around 1950. This self-contained exposition additionally describes the historical development of analytical probability theory and its tools, such as characteristic functions or moments. The importance of historical connections between the history of analysis and the history of probability theory is demonstrated in great detail. With a thorough discussion of mathematical concepts and ideas of proofs, the reader will be able to understand the mathematical details in light of contemporary development. Special terminology and notations of probability and statistics are used in a modest way and explained in historical context. 
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