A version of the Kolmogrov–Feller weak law of large numbers for maximal weighted sums of random variables-Reference-Cited by-同舟云学术

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A version of the Kolmogrov–Feller weak law of large numbers for maximal weighted sums of random variables

Published:2018-10-08 Issue:21 Volume:48 Page:5414-5418
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Naderi H.¹,Matuła P.²,Amini M.³,Ahmadzade H.¹

Affiliation:

1. Department of Statistics, University of Sistan and Baluchestan, Zahedan, Iran;

2. Institute of Mathematics, Marie Curie-Skłodowska University, pl. M.C.-Skłodowskiej 1, 20-031 Lublin, Poland;

3. Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University, Mashhad, Iran

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2018.1513146

Reference8 articles.

1. Regular Variation

2. A Note on the Weak Law

3. A note on the weighted strong law of large numbers under general conditions

4. Probability: A Graduate Course

5. On the strong law of large numbers

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1. Rates of convergence in the strong law of large numbers for weighted averages of nonidentically distributed random variables;Lithuanian Mathematical Journal;2024-01

2. On the Jajte weak law of large numbers for exchangeable random variables;Communications in Statistics - Theory and Methods;2022-11-30

3. Weak Law of Large Numbers Without Any Restriction on the Dependence Structure of Random Variables;Bulletin of the Iranian Mathematical Society;2021-08-31

4. On the Weak Laws of Large Numbers for Compound Random Sums of Independent Random Variables with Convergence Rates;Bulletin of the Iranian Mathematical Society;2021-08-31

5. On a Weak Law of Large Numbers with Regularly Varying Normalizing Sequences;Journal of Theoretical Probability;2021-07-28

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