A two-sided estimate in the Hsu-Robbins-Erdős law of large numbers for i.i.d. random variables sequence
type: Item
instance of: scholarly article
title: A two-sided estimate in the Hsu-Robbins-Erdős law of large numbers for i.i.d. random variables sequence
zbMATH Open document ID: 1102.60025
DOI: 10.1007/BF02896482
published in: Journal of Applied Mathematics and Computing
publication date: 2006-12-04T00:00:00Z
Mathematics Subject Classification ID: 60F15
zbMATH DE Number: 5076956
zbMATH Keywords: complete convergence
zbMATH Keywords: Baum-Katz law of large numbers
author: Guang-Hui Cai
author: Meng-Hu Zhu
MaRDI profile type: Publication
cites work: Convergence Rates in the Law of Large Numbers
cites work: Some One-Sided Theorems on the Tail Distribution of Sample Sums with Applications to the Last Time and Largest Excess of Boundary Crossings
cites work: Paley-type inequalities and convergence rates related to the law of large numbers and extended renewal theory
cites work: On a Theorem of Hsu and Robbins
cites work: Complete Convergence and the Law of Large Numbers
cites work: Negative association of random variables, with applications
cites work: Hemivariational inequalities
cites work: A two-sided estimate in the Hsu-Robbins-Erdős law of large numbers
cites work: Some results on fuzzy Banach spaces
cites work: A comparison theorem on moment inequalities between negatively associated and independent random variables
cites work: A Combinatorial Lemma and Its Application to Probability Theory
full work available at URL: https://doi.org/10.1007/bf02896482
OpenAlex ID: W1974577686
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description: scientific article; zbMATH DE number 5076956