Moment Properties of Generalized Order Statistics Based on Modified Weighted Rayleigh Distribution

Haseeb Athar, Mohamad A. Fawzy, Yousef F. Alharbi
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Abstract

The generalized order statistics is a unified model of several ordered random schemes such as order statistics, record values, progressive type II right censored order statistics, etc. Order statistics and record values appear in many statistical applications and are widely used in statistical modeling and inference. Progressive Type-II censored sampling scheme is a versatile censoring scheme because it allows the experimenter to save time and cost of the life-testing experiment and is quite useful in reliability and lifetime studies. Rayleigh distribution and its extended version such as modified weighted Rayleigh distribution are important distributions for modeling lifetime data in reliability analysis and engineering science. In this paper, we studied moment properties of generalized order statistics from modified weighted Rayleigh distribution. Further, characterization results based on moment properties and conditional expectation are presented. The simulation studies based on order statistics, upper record values, and progressive type II right censored order statistics are also carried out.
基于修正加权Rayleigh分布的广义阶统计量矩性质
广义序统计量是序统计量、记录值、渐进式ⅱ型右删节序统计量等几种有序随机方案的统一模型。序统计量和记录值出现在许多统计应用中,并广泛用于统计建模和推理。渐进式ii型截尾抽样方案是一种通用的截尾抽样方案,它使实验人员节省了寿命试验的时间和费用,在可靠性和寿命研究中非常有用。瑞利分布及其扩展形式如修正加权瑞利分布是可靠性分析和工程科学中寿命数据建模的重要分布。本文从修正加权瑞利分布出发,研究了广义阶统计量的矩性质。进一步给出了基于矩性和条件期望的表征结果。本文还进行了基于阶统计量、上记录值和渐进式右删节阶统计量的仿真研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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