Comparing sums of independent bounded random variables and sums of Bernoulli random variables

Author:

Berger Erich

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference15 articles.

1. Une forme générale de la loi forte des grands nombres pour des variables aléatoires vectorielles;Alt,1989

2. Probability inequalities for the sum of independent random variables;Bennett;J. Amer. Statist. Assoc.,1962

3. Majorization, exponential inequalities and almost sure behavior of vector-valued random variables;Berger;Ann. Probab.,1991

4. A note on the strong law of large numbers for partial sums of independent random vectors;Berger,1991

5. On the strong law of large numbers and the law of the iterated logarithm for sequences of independent random variables;Egorov;Theory Probab. Appl.,1970

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1. Lower Bounds for Tails of Sums of Independent Symmetric Random Variables;Theory of Probability & Its Applications;2009-01

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