Abstract: The central limit theorem is a fundamental theorem of statistics. It prescribes that the sum of a sufficiently large number of independent and identically distributed random variables approximately follows a normal distribution. History of the Central Limit Theorem The term “central limit theorem” most likely traces back to Georg Polya. As he recapitulated at the beginning of a paper published in 1920, it was “generally known that the appearance of the Gaussian probability density ” in a grea...
Publication Year: 2016
Publication Date: 2016-02-15
Language: en
Type: article
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