General theorems on rates of convergence in distribution of random variables II. Applications to the stable limit laws and weak law of large numbers-Reference-Cited by-同舟云学术

General theorems on rates of convergence in distribution of random variables II. Applications to the stable limit laws and weak law of large numbers

Published:1978-06 Issue:2 Volume:8 Page:202-221
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Butzer P.L.,Hahn L.

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference21 articles.

1. An estimate of the rate of convergence in the multidimensional integral limit theorem in the case of convergence to a stable symmetric law;Banys;Litovsk. Mat. Sb.,1971

2. Density versions of the univariate central limit theorem;Basu;Ann. Probability,1974

3. Convergence rates in the law of large numbers;Baum;Trans. Amer. Math. Soc.,1965

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