Ranjan K Som
Practical Sampling Techniques
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Ranjan K Som
Practical Sampling Techniques
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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.
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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.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- 2nd edition
- Seitenzahl: 670
- Erscheinungstermin: 30. Juni 2020
- Englisch
- Abmessung: 229mm x 152mm x 34mm
- Gewicht: 880g
- ISBN-13: 9780367579685
- ISBN-10: 0367579685
- Artikelnr.: 69891633
- Verlag: CRC Press
- 2nd edition
- Seitenzahl: 670
- Erscheinungstermin: 30. Juni 2020
- Englisch
- Abmessung: 229mm x 152mm x 34mm
- Gewicht: 880g
- ISBN-13: 9780367579685
- ISBN-10: 0367579685
- Artikelnr.: 69891633
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.
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.
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.