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

ML-II s-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 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 s-contaminated.