On the Rate of Convergence in the Strong Law of Large Numbers for Nonnegative Random Variables

Autor:	V. M. Korchevsky
Rok vydání:	2018
Předmět:	Statistics and Probability 010104 statistics & probability Statistical assumption Rate of convergence Law of large numbers Applied Mathematics General Mathematics 010102 general mathematics Applied mathematics 0101 mathematics 01 natural sciences Random variable Mathematics
Zdroj:	Journal of Mathematical Sciences. 229:719-726
ISSN:	1573-8795 1072-3374
DOI:	10.1007/s10958-018-3711-6
Popis:	The rate of convergence in the strong law of large numbers for sequences of nonnegative random variables is studied without the independence assumption. Conditions for which an analog of the Baum–Katz theorem holds are obtained.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c7969004ac462e50f7cb63a4ecb95b8e https://doi.org/10.1007/s10958-018-3711-6 Zobrazit plný text záznamu Full text from SpringerLink