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. NEW TO THIS EDITION 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. Table of Contents Preface. Preface to the First Edition. The Basic Concepts. Simple Random Sampling. Stratified Random Sampling. Ratio Estimator. Difference Estimator and Regression Estimator. Systematic Sampling. Cluster Sampling. Probability Proportional to Size with Replacement Sampling. Varying Probability without Replacement Sampling I. Varying Probability without Replacement Sampling II. Multistage Sampling. Multiphase Sampling. Sampling on Successive Occasions. Some Problems of Inference under a Fixed Population Set-up. Inference from a Finite Population Using the Prediction-Theoretic Approach. Errors in Surveys. Randomised Response Techniques. Small Area Estimation. Nonparametric Methods of Variance Estimation. Analysis of Complex Surveys. Appendix: Random Numbers and Permutations. Answers to Selected Exercises. Author Index. Subject Index.