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On the exact distribution of the MLEs based on Type-II progressively hybrid censored data from exponential distributions

机译:基于II型渐进混合检查数据的指数分布的MLE的精确分布

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Distributions of the maximum likelihood estimators (MLEs) in Type-II (progressive) hybrid censoring based on two-parameter exponential distributions have been obtained using a moment generating function approach. Although resulting in explicit expressions, the representations are complicated alternating sums. Using the spacings-based approach of Cramer and Balakrishnan [On some exact distributional results based on Type-I progressively hybrid censored data from exponential distributions. Statist Methodol. 2013;10:128-150], we derive simple expressions for the exact density and distribution functions of the MLEs in terms of B-spline functions. These representations can be easily implemented on a computer and provide an efficient method to compute density and distribution functions as well as moments of Type-II (progressively) hybrid censored order statistics.
机译:使用矩生成函数方法,已获得基于二参数指数分布的II型(渐进式)混合检查中最大似然估计器(MLE)的分布。尽管产生明确的表达式,但表示形式是复杂的交替和。使用Cramer和Balakrishnan的基于间距的方法[关于基于I型渐进混合检查的指数分布的一些精确分布结果。统计员Methodol。 2013; 10:128-150],我们根据B样条函数推导了MLE的精确密度和分布函数的简单表达式。这些表示可以在计算机上轻松实现,并提供一种有效的方法来计算密度和分布函数以及II型(渐进式)混合检查顺序统计量的矩。

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