The book is an interesting piece of work for the research students especially in the field of Bayesian inference. The fundamental purpose of the book is to develop the basic understanding about the methods to carry out the Bayesian analysis of some probability distribution(s) under complete and censored samples using different priors and loss functions. The simple simulation study proposed in the book will facilitate the students and researchers to understand how the parameters of the models can be estimated numerically under a Bayesian framework. As the predicted values are the important...