Bayesian estimation of the parameter of maxwell distribution under different loss functions

被引：19

作者：

Dey S. ^{[1
]}

Maiti S.S. ^{[2
]}

机构：

[1] Department of Statistics, St. Anthony’s College, Shillong, Meghalaya

[2] Department of Statistics, Visva-Bharati University, Santiniketan, West Bengal

来源：

Journal of Statistical Theory and Practice | 2010年 / 4卷 / 2期

关键词：

Conjugate prior; Maxwell distribution; MLINEX loss function; Non-informative prior; Posterior density; Quadratic loss function; Risk function; Squared-log error loss function;

D O I：

10.1080/15598608.2010.10411986

中图分类号：

学科分类号：

摘要：

In this paper, Bayes estimators of parameter of Maxwell distribution have been derived by considering non-informative as well as conjugate priors under different scale invariant loss functions, namely, Quadratic Loss Function, Squared-Log Error Loss Function and Modified Linear Exponential Loss Function. The risk functions of these estimators have been studied. © 2010 Taylor & Francis Group, LLC. All rights reserved.

引用

页码：279 / 287

页数：8

共 9 条

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