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Sample survey methods and theory

By: Material type: TextTextPublication details: New York : Wiley, 1953.Description: 332page 2 volumes : illustrations ; 24 cmISBN:
  • 9780471309666
DDC classification:
  • 519.52 HAN
Contents:
Contents: VOLUME ONE: 1. An elementary survey of sampling principles -- 2. Biases and nonsampling errors in survey results -- 3. Sample designs for some common sampling problems -- 4. Simple random sampling -- 5. Stratified simple random sampling -- 6. Simple one- or two-stage cluster sampling -- 7. Stratified single- or multi-stage cluster sampling -- 8. Control of variation in size of cluster in estimating totals, averages, or ratios -- 9. Multi-stage sampling with large primary sampling units -- 10. Estimating variances -- 11. Regression estimates, double sampling, sampling for time series, systematic sampling, and other sampling methods -- 12. Case studies--designs and results of some actual sample surveys -- VOLUME TWO: 1. Introduction and definitions -- Fundamental theory -- 2. Operations, events and probability -- 3. Random variables, expected values, variances, covariances, and convergence in probability -- Derivations, proofs, and some extensions of theory for corresponding chapters of volume 1 -- 4. Simple random sampling -- 5. Stratified simple random sampling -- 6. Simple one- or more stage cluster sampling -- 7. Stratified single- or multi-stage cluster sampling -- 8. Control of variation in size of cluster in estimating totals, averages, or ratios -- 9. Multi-stage sampling with large primary sampling units -- 10. Estimating variances -- 11. Regression estimates, double sampling, sampling for time series, and other sampling methods -- A theory for response errors -- 12. Response errors in surveys.
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Books Books Prof. Ram Dayal Munda Central Library, IGNTU Amarkantak M.P. Mathematics 519.52 HAN (Browse shelf(Opens below)) Available 66207


Contents: VOLUME ONE: 1. An elementary survey of sampling principles --
2. Biases and nonsampling errors in survey results --
3. Sample designs for some common sampling problems --
4. Simple random sampling --
5. Stratified simple random sampling --
6. Simple one- or two-stage cluster sampling --
7. Stratified single- or multi-stage cluster sampling --
8. Control of variation in size of cluster in estimating totals, averages, or ratios --
9. Multi-stage sampling with large primary sampling units --
10. Estimating variances --
11. Regression estimates, double sampling, sampling for time series, systematic sampling, and other sampling methods --
12. Case studies--designs and results of some actual sample surveys --
VOLUME TWO: 1. Introduction and definitions --
Fundamental theory --
2. Operations, events and probability --
3. Random variables, expected values, variances, covariances, and convergence in probability --
Derivations, proofs, and some extensions of theory for corresponding chapters of volume 1 --
4. Simple random sampling --
5. Stratified simple random sampling --
6. Simple one- or more stage cluster sampling --
7. Stratified single- or multi-stage cluster sampling --
8. Control of variation in size of cluster in estimating totals, averages, or ratios --
9. Multi-stage sampling with large primary sampling units --
10. Estimating variances --
11. Regression estimates, double sampling, sampling for time series, and other sampling methods --
A theory for response errors --
12. Response errors in surveys.

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