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Moment Generating Functions of Complementary Exponential-Geometric Distribution Based on k-th Lower Record Values

机译:基于k-th较低记录值的互补指数 - 几何分布的时刻产生函数

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摘要

The complementary exponential-geometric (CEG) distribution is a useful model for analyzing lifetime data. For this distribution, some recurrence relations satisfied by marginal and joint moment generating functions of k-th lower record values were established. They enable the computation of the means, variances, and covariances of k-th lower record values for all sample sizes in a simple and efficient recursive manner. Means, variances, and covariances of lower record values were tabulated from samples of sizes up to 10 for various values of the parameters.
机译:互补指数 - 几何(CEG)分布是用于分析寿命数据的有用模型。 对于这种分布,建立了k-th较低记录值的边缘和联合力矩的一些复发关系。 它们以简单且有效的递归方式实现所有样本尺寸的k-th较低记录值的手段,差异和协方差。 对于各种参数值,从尺寸的样本中列出较低记录值的手段,差异和协方差。

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