摘要

In this paper, the notion of the limit of logarithmic likelihood ratio of random sequences, as a measure of dissimilarity between two probability measures, is introduced. After establishing a ratio of two measures by means of constructing a new probability measure, we obtained the strong random deviation theorems for partial sums of functions of arbitrary discrete random variables under suitable restrictive conditions. As a direct application, we used our results to derive some limit properties of discrete information source.