Inference Based on k-Record Values from Generalized Exponential Distribution

IF 1.6 Q1 STATISTICS & PROBABILITY Statistica Pub Date : 2018-07-12 DOI:10.6092/ISSN.1973-2201/7495
Manoj Chacko, Laji Muraleedharan
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引用次数: 5

Abstract

In this paper, the lower k-record values arising from a two parameter generalized exponential distribution is considered. The maximum likelihood estimators for the shape parameter and scale parameter are obtained. The Bayes estimates of the parameters are also developed by using Markov chain Monte Carlo method under symmetric and asymmetric loss functions. Finally, a simulation study is performed to find the performance of different estimators developed in this paper.
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基于广义指数分布k记录值的推理
本文考虑了由两参数广义指数分布引起的较低k记录值。得到了形状参数和尺度参数的最大似然估计量。在对称和非对称损失函数下,利用马尔可夫链蒙特卡罗方法对参数进行了贝叶斯估计。最后,对本文开发的不同估计器的性能进行了仿真研究。
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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来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
发文量
0
审稿时长
10 weeks
期刊最新文献
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