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Strong Deviation Theorems for the Continuous Random Variables and the Approach of Moment Generating Function

机译:连续随机变量的强偏差定理和矩生成函数的方法

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摘要

In virtue of the notion of likelihood ratio, the limit properties of the sequences of continuous random variables are studied ,and a class of strong deviation theorems which represented by inequalities between random variables and their expectation are obtained, hi the proof an approach of applying the tool of moment generation function to the study of strong limit theorem is proposed. As a result, we obtain some deviation theorems for Normal distribution and Gamma distribution.
机译:根据似然比的概念,研究了连续随机变量序列的极限性质,得到了一类由随机变量之间的不等式表示的强偏差定理及其期望值。提出了矩生成函数的工具,用于研究强极限定理。结果,我们获得了正态分布和伽玛分布的一些偏差定理。

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