The three-parameter inverse Gaussian distribution is used as an alternative model for the three parameter lognormal, gamma and Weibull distributions for reliability problems. In this paper Bayes estimates of the parameters and reliability function of a three parameter inverse Gaussian distribution are obtained. Posterior variance estimates are compared with the variance of their maximum likelihood counterparts. Numerical examples are given.
@article{urn:eudml:doc:40550,
title = {Bayesian estimation of the 3-parameter inverse Gaussian distribution.},
journal = {Trabajos de Estad\'\i stica},
volume = {6},
year = {1991},
pages = {45-62},
zbl = {0739.62023},
language = {en},
url = {http://dml.mathdoc.fr/item/urn:eudml:doc:40550}
}
Mahmoud, Mohamed. Bayesian estimation of the 3-parameter inverse Gaussian distribution.. Trabajos de Estadística, Tome 6 (1991) pp. 45-62. http://gdmltest.u-ga.fr/item/urn:eudml:doc:40550/