| Description |
Sample survey theory and design. Simple random, stratified, systematic, and cluster samples. Probability proportional to size sampling. Estimation of population parameters. Ratio, difference and regression type estimators. Use of auxiliary information. Confidence intervals. Optimum choice of sample size. Strata allocation. Selection probabilities. Double sampling and repetitive surveys. Non-sampling errors, randomized response. Sufficiency principle in sample survey model. Superpopulation models. |