Chapter 5: Estimating the Parameter of Weighted Ailamujia Distribution using Bayesian Approximation Techniques

From table 5.1 and 5.2, it is clearly evident that the posterior variance of gamma prior is less than the other priors under both the approximation techniques especially when the value of both the hyper parameters a1 and b1 is taken as 2. Further, it is also noted that the values of normal approximation are less than the T-K approximation for all the three data sets.