369,23 €
434,39 €
-15% su kodu: ENG15
A History of the Central Limit Theorem
A History of the Central Limit Theorem
369,23
434,39 €
  • Išsiųsime per 12–18 d.d.
This study discusses the history of the central limit theorem and related probabilistic limit theorems from about 1810 through 1950. In this context the book also describes the historical development of analytical probability theory and its tools, such as characteristic functions or moments. The central limit theorem was originally deduced by Laplace as a statement about approximations for the distributions of sums of independent random variables within the framework of classical probability, w…
  • Leidėjas:
  • ISBN-10: 1461427010
  • ISBN-13: 9781461427018
  • Formatas: 15.6 x 23.4 x 2.2 cm, minkšti viršeliai
  • Kalba: Anglų
  • Extra -15 % nuolaida šiai knygai su kodu: ENG15

A History of the Central Limit Theorem (el. knyga) (skaityta knyga) | knygos.lt

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This study discusses the history of the central limit theorem and related probabilistic limit theorems from about 1810 through 1950. In this context the book also describes the historical development of analytical probability theory and its tools, such as characteristic functions or moments. The central limit theorem was originally deduced by Laplace as a statement about approximations for the distributions of sums of independent random variables within the framework of classical probability, which focused upon specific problems and applications.

Making this theorem an autonomous mathematical object was very important for the development of modern probability theory.

EXTRA 15 % nuolaida su kodu: ENG15

369,23
434,39 €
Išsiųsime per 12–18 d.d.

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  • Autorius: Hans Fischer
  • Leidėjas:
  • ISBN-10: 1461427010
  • ISBN-13: 9781461427018
  • Formatas: 15.6 x 23.4 x 2.2 cm, minkšti viršeliai
  • Kalba: Anglų Anglų

This study discusses the history of the central limit theorem and related probabilistic limit theorems from about 1810 through 1950. In this context the book also describes the historical development of analytical probability theory and its tools, such as characteristic functions or moments. The central limit theorem was originally deduced by Laplace as a statement about approximations for the distributions of sums of independent random variables within the framework of classical probability, which focused upon specific problems and applications.

Making this theorem an autonomous mathematical object was very important for the development of modern probability theory.

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