Autor:	Masashi Sugiyama
Rok vydání:	2016
Předmět:	Combinatorics Independent and identically distributed random variables Circular law Exchangeable random variables Pairwise independence Indecomposable distribution Sum of normally distributed random variables Illustration of the central limit theorem Mathematics Central limit theorem
DOI:	10.1016/b978-0-12-802121-7.00018-2
Popis:	In this chapter, the behavior of the sum of independent random variables is first investigated. Then the limiting behavior of the mean of independent and identically distributed (i.i.d.) samples when the number of samples tends to infinity is discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c5e1a47a7bbdb64b8ed13420a5c88175 https://doi.org/10.1016/b978-0-12-802121-7.00018-2 Zobrazit plný text záznamu