Probability Inequalities for Sums of Independent Random Variables
- 1 January 1971
- journal article
- Published by Society for Industrial & Applied Mathematics (SIAM) in Theory of Probability and Its Applications
- Vol. 16 (4), 643-660
- https://doi.org/10.1137/1116071
Abstract
No abstract availableThis publication has 10 references indexed in Scilit:
- On the Strong Law of Large Numbers and the Law of the Iterated Logarithm for Sequences of Independent Random VariablesTheory of Probability and Its Applications, 1970
- Inequalities for the $r$th Absolute Moment of a Sum of Random Variables, $1 \leqq r \leqq 2$The Annals of Mathematical Statistics, 1965
- Some Limit Theorems for Large DeviationsTheory of Probability and Its Applications, 1965
- On the probability of large deviations from the expectation for sums of bounded, independent random variablesBiometrika, 1963
- Probability Inequalities for Sums of Bounded Random VariablesJournal of the American Statistical Association, 1963
- Probability Inequalities for the Sum of Independent Random VariablesJournal of the American Statistical Association, 1962
- Some Remarks on the Strong Law of Large NumbersTheory of Probability and Its Applications, 1959
- An Extremal Problem in Probability TheoryTheory of Probability and Its Applications, 1959
- Strong Stability of Sums and Infinitely Divisible DistributionsTheory of Probability and Its Applications, 1958
- The strong law of large numbersDuke Mathematical Journal, 1948