Modified Moment, Maximum Likelihood and Percentile Estimators for the Parameters of the Power Function Distribution

被引：0

作者：

Zaka, Azam ^{[1
]}

Akhter, Ahmad Saeed ^{[2
]}

机构：

[1] Punjab Educ Dept, Lahore, Pakistan

[2] Univ Punjab, Coll Stat & Actuarial Sci, Lahore, Pakistan

来源：

PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH | 2014年 / 10卷 / 04期

关键词：

Parameter estimation; Percentile estimators; Maximum likelihood estimators; Moment estimators; Modified estimators; Monte Carlo study; Total deviation; Mean square error;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

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.

引用

页数：20

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