Bayes reliability measures of Lognormal and inverse Gaussian distributions under ML-II ε-contaminated class of prior distributions

In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Reliability measures for an Inverse Gaussian (IG) distribution and Lognormal (LN) distribution to misspecification in the prior. The numerical illustrations suggest that reliability measures of both the distributions are not sensitive to moderate amount of misspecification in prior distributions belonging to the class of ML-II ε-contaminated.

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Year of publication:	2009-07-29
Authors:	Sinha, Pankaj ; Jayaraman, Prabha

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Type of publication:	Book / Working Paper
Language:	English
Notes:	Sinha, Pankaj and Jayaraman, Prabha (2009): Bayes reliability measures of Lognormal and inverse Gaussian distributions under ML-II ε-contaminated class of prior distributions.
Classification:	C13 - Estimation ; C44 - Statistical Decision Theory; Operations Research ; C02 - Mathematical Methods ; c46 ; C11 - Bayesian Analysis ; C01 - Econometrics
Source:	BASE

Persistent link: https://www.econbiz.de/10015217746