JOURNAL ARTICLE

Weak laws of large numbers for maximal weighted sums of random variables

Fakhreddine Boukhari

Year: 2019 Journal:   Communication in Statistics- Theory and Methods Vol: 50 (1)Pages: 105-115   Publisher: Taylor & Francis

Abstract

In this paper, we establish a weak law of large numbers for a class of weighted sums of random variables introduced by Jajte (2003). The obtained method allows us to deduce a generalized version of the Marcinkiewicz-Zygmund weak law of large numbers and to strengthen several known results, such as those of Gut (2004) and Naderi et al. (2018). Finally, an application to randomly indexed sums is presented.

Keywords:
Law of large numbers Mathematics Random variable Class (philosophy) Statistics Discrete mathematics Combinatorics Computer science Artificial intelligence

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11
Cited By
1.47
FWCI (Field Weighted Citation Impact)
9
Refs
0.83
Citation Normalized Percentile
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Citation History

Topics

Probability and Risk Models
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Stochastic processes and statistical mechanics
Physical Sciences →  Mathematics →  Mathematical Physics
Random Matrices and Applications
Physical Sciences →  Mathematics →  Statistics and Probability

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