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Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data. Demonstrates the validity of theorems and statements without resorting to detailed proofs.
Ranjan K. Som
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.
