Practical Sampling Techniques

Abstract

Basic concepts of sampling. Part 1 Single-stage sampling: simple random sampling use of ancillary variables in simple random sampling systematic sampling varying probability sampling - sampling with probability proportional to size choice of sampling units - cluster sampling size of sample - cost and error self-weighting designs. Part 2 Stratified single-stage sampling: stratified sampling - introduction stratified simple random sampling stratified varying probability sampling size of sample and allocation to different strata self-weighting design in stratified single-stage sampling. Part 3 Multi-stage sampling: multi-stage sampling - introduction multi-stage simple random sampling multi-stage varying probability sampling size of sample and allocation to different stages self-weighting design in multi-stage sampling. Part 4 Stratified multi-stage sampling: stratified multi-stage sampling - introduction stratified multi-stage simple random sampling stratified multi-stage varying probability sampling size of sample and allocation to different strata and stages self-weighting designs in stratified multi-stage sampling. Part 5 Miscellaneous topics: miscellaneous sampling topics errors and biases in data and estimates planning, execution and analysis of surveys use of computers in survey sampling appendix 1 - list of notations and symbols appendix 2 - elements of probability and proofs of some theorems in sampling appendix 3 - statistical tables appendix 4 - hypothetical universe of 600 households in 30 towns in 3 states appendix 5 - case study - Indian national sample survey, 1964-5 appendix 6 - multi-country survey programmes.