On Moments of Lindley Distribution Based on Generalized Order Statistics

Q3 Business, Management and Accounting American Journal of Mathematical and Management Sciences Pub Date : 2020-02-10 DOI:10.1080/01966324.2020.1718568
M. J. S. Khan, A. Sharma, S. Iqrar
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引用次数: 2

Abstract

Abstract In this paper, we have deduced the exact and explicit expressions for single and product moments of Lindley distribution based on generalized order statistics in terms of Gauss hypergeometric function and Kampé de Fériet series. These results include the exact expression for the single and product moments of order statistics, progressive Type II censoring, record values Pfeifer’s record value and sequential order statistics from Lindley distribution. Further, means and variances of Lindley distribution based on order statistics, progressive type II censored order statistics and for generalized order statistics have been computed. We have also calculated the best linear unbiased estimators for location and scale parameters of Lindley distribution utilizing these results. Finally, a real data application is given.
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基于广义阶统计量的Lindley分布矩
摘要本文在广义阶统计量的基础上,利用高斯超几何函数和Kampéde Fériet级数,推导了Lindley分布的单矩和乘积矩的精确表达式和显式表达式。这些结果包括阶统计量的单矩和乘积矩的精确表达式、渐进II型截尾、记录值Pfeifer记录值和来自Lindley分布的序列阶统计量。此外,还计算了基于阶统计量、渐进II型截尾阶统计量和广义阶统计量的Lindley分布的均值和方差。我们还利用这些结果计算了Lindley分布的位置和尺度参数的最佳线性无偏估计量。最后,给出了一个实际的数据应用。
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来源期刊
American Journal of Mathematical and Management Sciences
American Journal of Mathematical and Management Sciences Business, Management and Accounting-Business, Management and Accounting (all)
CiteScore
2.70
自引率
0.00%
发文量
5
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