文章基本信息

标题：Modified Moment, Maximum Likelihood and Percentile Estimators for the Parameters of the Power Function Distribution
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作者：Azam Zaka ; Ahmad Saeed Akhter
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2014
卷号：10
期号：4
页码：369-388
DOI：10.1234/pjsor.v10i4.614
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：This paper is concerned with the modifications of maximum likelihood, moments and percentile estimators of the two parameter Power function distribution. Sampling behavior of the estimators is indicated by Monte Carlo simulation. For some combinations of parameter values, some of the modified estimators appear better than the traditional maximum likelihood, moments and percentile estimators with respect to bias, mean square error and total deviation.
关键词：Parameter estimation, percentile estimators, maximum likelihood estimators, moment estimators, modified estimators, monte carlo study, total deviation, mean square error.