Sampling theory/ Des Raj

Includes index

Mathematical Preliminaries -- Sample Survey Background -- Basic Methods of Sample Selection -- Stratification -- Further Use of Supplementary Information -- Sampling and Sub-Sampling of clusters -- Double- Sampling Procedures and Repetitive Surveys -- Non-Sampling Errors -- Other Developments -- Exercises -- References to Exercises with Remarks -- Appendix 1. Report on an Actual Sample Survey -- Appendix 2 . Principal Notation Used -- Random Numbers -- Index.

For a proper appreciation of Sampling theory, Chapter 2 offers background information concerning the work of a sampling statistician in the field.
Chapter 3 presents the three basic methods of sampling selection- simple random sampling, systematic sampling, and sampling with probability proportionate to size.
Chapter 4 and 5 use of auxiliary information by way of stratification and through ratio and regression estimation is explained.
Chapter 6 and 7 deals with Sampling and Sub sampling of clusters, double sampling procedures and the problems peculiar to repetitive surveys from the subject matter.
How the plan the survey and analyse the data in the presence of response errors is discussed in Chapter 8.
Developments not previously included, such as the stability of variance estimators, subpopulation analysis, etc., are discussed in Chapter 9.