Comparative Study of New and Traditional Estimators of a New Lifetime Model

Q3 Mathematics
S. Maurya, S. Singh, U. Singh
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引用次数: 0

Abstract

In this article, we have studied the behavior of estimators of parameter of a new lifetime model, suggested by Maurya et al. (2016), obtained by using methods of moments, maximum likelihood, maximum product spacing, least squares, weighted least squares, percentile, Cramer-von-Mises, Anderson-Darling and Right-tailed Anderson-Darling. Comparison of the estimators has been done on the basis of their mean square errors, biases, absolute and maximum absolute differences between empirical and estimated distribution function and a newly proposed criterion. We have also obtained the asymptomatic confidence interval and associated coverage probability for the parameter.
一种新的寿命模型的新估计与传统估计的比较研究
在这篇文章中,我们研究了Maurya等人提出的一种新的寿命模型的参数估计量的行为。(2016),通过使用矩、最大似然、最大乘积间距、最小二乘、加权最小二乘、百分位数、Cramer von Mises、Anderson Darling和右尾Anderson Darlin的方法获得。根据它们的均方误差、偏差、经验分布函数和估计分布函数之间的绝对差和最大绝对差以及一个新提出的准则,对估计量进行了比较。我们还获得了该参数的无症状置信区间和相关的覆盖概率。
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
CiteScore
0.50
自引率
0.00%
发文量
5
期刊介绍: The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.
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