514,61 €
571,79 €
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A History of the Central Limit Theorem
A History of the Central Limit Theorem
514,61
571,79 €
  • We will send in 10–14 business days.
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…
571.79
  • Publisher:
  • ISBN-10: 1461427010
  • ISBN-13: 9781461427018
  • Format: 15.6 x 23.4 x 2.2 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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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.

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  • Author: Hans Fischer
  • Publisher:
  • ISBN-10: 1461427010
  • ISBN-13: 9781461427018
  • Format: 15.6 x 23.4 x 2.2 cm, minkšti viršeliai
  • Language: English English

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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