Bayes Estimation Of The Modified Inverse Rayleigh Parameters Under Various Approximation Techniques

被引：0

作者：

Taufiq, Mehak ^{[1
]}

Bashir, Naila ^{[1
]}

Saud, Naz ^{[1
]}

Farooq, Muhammad ^{[2
]}

机构：

[1] Lahore Coll Women Univ, Dept Stat, Lahore, Pakistan

[2] COMSATS Univ Islamabad, Lahore Campus, Lahore, Pakistan

来源：

PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH | 2021年 / 17卷 / 01期

关键词：

Modified Inverse Rayleigh Distribution; Maximum likelihood estimation; Lindleys Approximation; T-K Approximation; MCMC;

D O I：

10.18187/pjsor.v17i1.3424

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：

In this paper we proposed Bayes estimators for complete sample of the Modified Inverse Rayleigh (MIR) parameters which was introduced by Khan (2014). Different approximation methods with squared error loss function (SELF) have been used to develop the bayes estimators for the unknown parameters. The proposed estimators are compared with the corresponding maximum likelihood estimators by simulation study on the basis of bias and mean square error (MSE). To illustrate the usefulness and goodness of fit of MIR distribution we considered two real data sets.

引用

页码：247 / 263

页数：17

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