Record Details


Field	Value

Title	Statistical Analysis of Location Parameter of Inverse Gaussian Distribution Under Noninformative Priors

Creator	Khan, Nida Aslam, Muhammad

Description	Bayesian estimation for location parameter of the inverse Gaussian distribution is presented in this paper. Noninformative priors (Uniform and Jeffreys) are assumed to be the prior distributions for the location parameter as the shape parameter of the distribution is considered to be known. Four loss functions: Squared error, Trigonometric, Squared logarithmic and Linex are used for estimation. Bayes risks are obtained to find the best Bayes estimator through simulation study and real life data

Publisher	Department of Quantitative Methods, School of Business and Economics, University of Management and Technology, Lahore Pakistan

Date	2019-08-31

Type	info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article

Format	application/pdf

Identifier	https://ojs.umt.edu.pk/index.php/jqm/article/view/101 10.29145/2019/jqm/030204

Source	Journal of Quantitative Methods; Vol 3 No 2 (2019): August; 62-76 2522-2260 2522-2252 10.29145/JQM/32

Language	eng

Relation	https://ojs.umt.edu.pk/index.php/jqm/article/view/101/38

Rights	Copyright (c) 2019 Nida Khan, Muhammad Aslam http://creativecommons.org/licenses/by/4.0

Since 2014