Sampling Theory and Methods presents in detail several sampling schemes like simple random sampling, unequal probability sampling methods, systematic, stratified, cluster and multistage sampling. In addition to sampling schemes a number of estimating methods which include ratio and regression estimators are also discussed. The use of superpopulation models is covered in detail along with recent developments including estimation of distribution functions, adaptive sampling schemes etc. New to the Second Edition: · Contents reorganized to establish a coherent link between various concepts · Several numerical examples associated with real life solutions for bringing out the relevance of theory in real life context

Preface to the Second Edition/ Preface to the First Edition/ Preliminaries/ Equal Probability Sampling/ Systematic Sampling Schemes/ Unequal Probability Sampling/ Stratified Sampling/ Use of Auxiliary Information/ Regression Estimation/ Multistage Sampling/ Non-sampling Errors/ Recent Developments/ References/ Index.

Undergraduate and Graduate Students in Statistics