Bayes Reliability Measures of Lognormal and Inverse Gaussian Distributions under ML-II e-contaminated Class of Prior Distributions

Abstract

ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability measures for a lognormal (LN) distribution and inverse Gaussian (IG) distribution to mis-specification in the prior is employed. The numerical illustrations suggest that reliability measures of both the distributions are not sensitive to moderate amount of mis-specification in prior distributions belonging to the class of ML-II e-contaminated.