Open AccessBayes Estimation of Shape Parameter of Length Biased Weibull Distribution
Author(s) -
Arun Kumar Rao,
Himanshu Pandey
Publication year - 2021
Publication title -
jtam (jurnal teori dan aplikasi matematika)
Language(s) - English
Resource type - Journals
eISSN - 2614-1175
pISSN - 2597-7512
DOI - 10.31764/jtam.v5i1.3268
Subject(s) - weibull distribution , prior probability , estimator , statistics , bayes' theorem , mathematics , bayes estimator , bayesian probability , gamma distribution , shape parameter , bayes error rate , mean squared error , bayes factor , bayes classifier
In this paper, length biased Weibull distribution is considered for Bayesian analysis. The expressions for Bayes estimators of the parameter have been derived under squared error, precautionary, entropy, K-loss, and Al-Bayyati’s loss functions by using quasi and gamma priors.