CHARACTERIZATION OF CONTINUOUS DISTRIBUTIONS CONDITIONED ON A PAIR OF NON-ADJACENT DUAL GENERALIZED ORDER STATISICS USING MEIJER’S G-FUNCTION

M.J.S. Khan, M. I. Khan, N. Wahid
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Abstract

The dual generalized order statistics is a unified model which contains the well-known decreasingly ordered random data such as (reversed ordered) order statistics and lower record values. In this paper, generalized families of continuous distributions have been characterized through conditional expectation of dual generalized order statistics, conditioned on a pair of non-adjacent dual generalized order statistics using Meijer’s G-function and its various deductions are discussed. AMS Subject Classification:  62E15, 62E10, 62G30.
用meijer的g函数刻画非相邻对偶广义阶统计量上的连续分布
对偶广义序统计量是一个统一的模型,它包含了众所周知的(倒序)序统计量和低记录值等渐序随机数据。本文通过对偶广义阶统计量的条件期望刻画了连续分布的广义族,并利用Meijer的g函数讨论了对非相邻对偶广义阶统计量的条件期望及其各种演绎。学科分类:62E15、62E10、62G30。
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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