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首页> 外文期刊>Acta Mathematica Scientia >LARGE DEVIATIONS AND MODERATE DEVIATIONS FOR m-NEGATIVELY ASSOCIATED RANDOM VARIABLES
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LARGE DEVIATIONS AND MODERATE DEVIATIONS FOR m-NEGATIVELY ASSOCIATED RANDOM VARIABLES

机译:m负关联随机变量的大偏差和中偏差

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摘要

M-negatively associated random variables, which generalizes the classical one of negatively associated random variables and includes m-dependent sequences as its particular case, are introduced and studied. Large deviation principles and moderate deviation upper bounds for stationary m-negatively associated random variables are proved. Kolmogorov-type and Marcinkiewicz-type strong laws of large numbers as well as the three series theorem for m-negatively associated random variables are also given.
机译:引入并研究了M负相关的随机变量,该变量概括了负相关随机变量的经典之一,并包括m依赖序列。证明了m负相关随机变量的大偏差原理和中偏差上限。还给出了Kolmogorov型和Marcinkiewicz型强定律以及m负相关随机变量的三个级数定理。

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