Theory and Methods of Survey Sampling

This is a comprehensive exposition of survey sampling useful both to the students of statistics for the course on sample survey and to the survey statisticians and practitioners involved in consultancy services, marketing, opinion polls, and so on. The text offers updated review of difficult classical techniques of survey sampling, besides covering prediction-theoretic approach of survey sampling and nonsampling errors. Two new chapters - Nonparametric Methods of Variance Estimation (Chapter 19) and Analysis of Complex Surveys (Chapter 20) - have been added. These would greatly benefit the readers. It covers concepts of unequal probability sampling. It provides problems of making inference from finite population using tools of classical inference. It describes nonsampling errors including Randomised Response Techniques. It gives over 70 worked-out examples and more than 120 problems and solutions. It supplies live data from India and Sweden - in examples and exercises.