Strong deviation theorems for delayed sums of the nonnegative continuous random variables

Fengkai Dong and Huilin Huang

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 5, 1522-1530

Abstract: In this paper, we extend the strong deviation theorems for functions of the nonnegative continuous random variables to the case of delayed sums of the nonnegative continuous random variables, represented by inequalities and described by asymptotic delayed log-likelihood ratio. As corollaries, we obtain several strong law of large numbers for delayed sums of functions of the nonnegative continuous random variables. The results of this manuscript extend and improve the corresponding results of some current literatures.

Date: 2022
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DOI: 10.1080/03610926.2020.1774059

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