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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