JOURNAL ARTICLE

Some Exponential Moments of Sums of Independent Random Variables

J. Kuelbs

Year: 1978 Journal:   Transactions of the American Mathematical Society Vol: 240 Pages: 145-145   Publisher: American Mathematical Society

Abstract

If $\{ {X_n}\}$ is a sequence of vector valued random variables, $\{ {a_n}\}$ a sequence of positive constants, and $M = {\sup _{n \geqslant 1}}\left \| {({X_1} + \cdots + {X_n})/{a_n}} \right \|$, we examine when $E(\Phi (M)) < \infty$ under various conditions on $\Phi ,\{ {X_n}\}$, and $\{ {a_n}\}$. These integrability results easily apply to empirical distribution functions.

Keywords:
Mathematics Random variable Sequence (biology) Exponential function Combinatorics Distribution (mathematics) Multivariate random variable Exponential distribution Discrete mathematics Mathematical analysis Statistics

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Topics

Statistical Distribution Estimation and Applications
Physical Sciences →  Mathematics →  Statistics and Probability
Probability and Risk Models
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Fuzzy Systems and Optimization
Physical Sciences →  Mathematics →  Statistics and Probability

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