幂函数分布的动态累积过去熵估计

IF 1.6 Q1 STATISTICS & PROBABILITY
E. I. Abdul-Sathar, G. S. Sathyareji
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引用次数: 2

摘要

本文针对两参数幂函数分布,提出了参数的MLE估计和Bayes估计,以及DCPE估计。利用Lindley近似法和重要的采样步骤,得到了不同损失函数下的Bayes估计量。用实际数据集和蒙特卡罗模拟来研究本文所导出的估计器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Dynamic Cumulative Past Entropy for Power Function Distribution
In this paper, we proposed MLE and Bayes estimators of parameters and DCPE for the two parameter power function distribution. Bayes estimators under different loss functions are obtained using Lindley approximation method and important sampling procedures. A real life data set and a Monte Carlo simulation are used to study the performance of the estimators derived in the article.
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来源期刊
Statistica
Statistica STATISTICS & PROBABILITY-
CiteScore
1.70
自引率
0.00%
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0
审稿时长
10 weeks
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