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.
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.
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.
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.
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