v.1. Methods and applications -- v.2. Theory.

Introduction -- 1. An elementary survey of sampling principles -- 2. Biases and nonsampling errors in survey results -- 3. Sample designs for some sommon 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 cluster in estimating totals, averages, or ratios -- 9. Multi-satege 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 -- Appendix: table of areas under the normal curve -- v.2. 1. Introduction and definitions -- 2. Fundamental theory: operations, events and probability -- 3. Random variables, expected values, variances, covariances and convergence in probability -- 4. Simple random sampling -- 5. Stratified simple ranom sampling -- 6. Simple one or more stage cluster sampling -- 7. Stratified single or multi-stage culster 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 -- 12. Response errors in surveys.

Donación Lic. Carlos Pérez Mackeprang