A class of strong deviation theorems for continuous random variables sequence
Abstract
Purpose
The purpose of this paper is to obtain some strong deviation theorems for arbitrary continuous random variable sequences under suitable restrict Chung‐Teicher type conditions.
Design/methodology/approach
The crucial part of the proof is to construct a.s. convergence super‐martingale by means of the notion of limit logarithmic likelihood ratio of random variable sequences and then applying the martingale convergence theorem.
Findings
The upper and lower bounds of the deviations from the sums of arbitrary continuous random sequence to their marginals are obtained.
Research limitations/implications
The rigorous bounds are the main limitations which are difficult to obtain.
Practical implications
A useful method to study the property of dependent random sequence.
Originality/value
The paper presents the new approach of proof strong limit theorems.
Keywords
Citation
Chen, W. (2008), "A class of strong deviation theorems for continuous random variables sequence", Kybernetes, Vol. 37 No. 9/10, pp. 1257-1263. https://doi.org/10.1108/03684920810907535
Publisher
:Emerald Group Publishing Limited
Copyright © 2008, Emerald Group Publishing Limited