Noun
(statistics and mathematics, singular only) The theorem that states that if the sum of independent identically distributed random variables has a finite variance, then it will be approximately normally distributed.
(mathematics, countable) Any of various similar theorems.
Source: en.wiktionary.orgA hypothesis (referred to as the Tweedie hypothesis) has been proposed to explain the genesis of pink noise on the basis of a mathematical convergence theorem related to the central limit theorem of statistics. Source: Internet
Convergence to the limit The central limit theorem gives only an asymptotic distribution. Source: Internet
An important example of a log-concave density is a function constant inside a given convex body and vanishing outside; it corresponds to the uniform distribution on the convex body, which explains the term "central limit theorem for convex bodies". Source: Internet
A simplified formulation of the central limit theorem under strong mixing is: Billingsley (1995, Theorem 27.4) Theorem. Source: Internet
Central limit theorem main "The central limit theorem (CLT) is one of the great results of mathematics." Source: Internet
From another viewpoint, the central limit theorem explains the common appearance of the "Bell Curve" in density estimates applied to real world data. Source: Internet