Journal of Statistical Computation and Simulation | 2019
Modern survey sampling
Abstract
A core area of statistics discipline is survey sampling. The survey sampling has undergone several phases to its current modern state. The book with the title ‘Modern Survey Sampling’ by Arijit Chaudhuri is quite a source to capture, read and utilize sampling concepts to further advance the concepts andmethodologies of statistics. A noteworthy feature of this well-written book is the list of unseen problems with possible intellectual approaches to solve them. The book is quite suitable for use in a graduate class as the book contains case studies, challenging exercises and special survey techniques. Having written several other sampling books, the author of this book cites them and related research articles extensively in the quite exhaustive references. The readers ought to have a basic level of mathematical background to comprehend the contents of this book. There are nine well-written chapters covering a range of topics includingmotivation to sampling, concepts of population versus sample, random sampling with and without replacement, estimation, sample size determination, unequal probability sampling, stratified sampling, cluster sampling, multi-stage sampling, regression estimation, super population modeling, Bayesian methods, spatial smoothing, successive sampling, handling non-responses, imputations, repeated sampling, randomized responses to obtain better responses, indirect questioning, small domain statistics, network sampling, adaptive sampling, and Jack-knifing among others. I learned a lot by careful reading of this book and recommend the book highly professors who teach sampling and the research graduate students in sampling.