JOURNAL ARTICLE

Some Results on Small-Deviation Probability Convergence Rates for Sums of Independent Random Variables

C. C. Heyde

Year: 1966 Journal:   Canadian Journal of Mathematics Vol: 18 Pages: 656-665   Publisher: Cambridge University Press

Abstract

Let ﹛X j ,j = 1, 2, 3, …﹜ be a sequence of independent, non-degenerate random variables and write Under quite a diverse variety of conditions we may obtain as n → ∞ for all x, — ∞ < x < ∞, and some real p ⩾ 0. For example, suppose the ﹛X j ﹜ happen to be distributed identically and belong to the domain of normal attraction of a symmetric stable law with characteristic exponent α, 0 < α ⩽ < 2, α ≠ 1.

Keywords:
Mathematics Independent and identically distributed random variables Random variable Exponent Degenerate energy levels Sequence (biology) Domain (mathematical analysis) Combinatorics Discrete mathematics Statistics Mathematical analysis

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8
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3.71
FWCI (Field Weighted Citation Impact)
11
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0.94
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Topics

Probability and Risk Models
Social Sciences →  Decision Sciences →  Management Science and Operations Research
advanced mathematical theories
Physical Sciences →  Mathematics →  Mathematical Physics
Mathematical Approximation and Integration
Physical Sciences →  Mathematics →  Numerical Analysis

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