Posterior Analysis of Sequential Normal Testing Procedure

Several studies deals with the nonrobust character of various types of acceptance plans. Many such studies also analyze the robust character of sequential testing procedures when the underlying failure time distribution has a monotone failure rate. A vast literature on the life testing plans in the Bayesian framework is also available where updating prior with experimental data has been the main concern. Highlighting the point that the basic normal lifetime distribution can also be updated in respect of prior variations in the involve parameters. The present study deals with the analysis of the robust character of sequential normal testing procedures when the mean of the basic normal distribution is considered as a random variable. The robust character of the consistency of the random variable n, in view of prior variations, is also analyzed