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Empirical Bayes Testing for the Mean Lifetime of Exponential Distributions: Unequal Sample Sizes Case

机译:对指数分布的平均寿命的经验贝叶斯测试:不等样本尺寸案例

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This paper deals with an empirical Bayes testing problem for the mean lifetimes of exponential distributions with unequal sample sizes. We study a method to construct empirical Bayes tests {δ_(n+1,n)~*}_(n=1)~∞ for the sequence of the testing problems. The asymptotic optimality of {δ_(n+1,n)~*}_(n=1)~ ∞ is studied. It is shown that the sequence of empirical Bayes tests {δ_(n+1,n)~*}_(n=1)~ ∞ is asymptotically optimal, and its associated sequence of regrets converges to zero at a rate (ln n)~(4M-1), where M is an upper bound of sample sizes.
机译:本文涉及具有不等样本尺寸的指数分布的平均寿命的经验贝叶斯测试问题。我们研究了构建经验贝叶斯测试的方法{Δ_(n + 1,n)〜*} _(n = 1)〜∞的测试问题的序列。研究了{Δ_(n + 1,n)〜*} _(n = 1)〜∞的渐近最优性。结果表明,经验贝叶斯序列测试{Δ_(n + 1,n)〜*} _(n = 1)〜∞是渐近的最佳状态,其相关联的遗憾序列以速率(ln n)收敛到零(ln n) 〜(4m-1)/ n,其中m是样品尺寸的上限。

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