Courses

General information about sampling methods. Simple random sampling: estimation of mean, total value, percentage. Construction of confidence intervals for these parameters. Selection of sample size. Random sampling with replacement and parameter estimation. Stratified random sampling: estimation of mean, total value, percentage, principle of stratification. Selection of sample size, proportional distribution of sample sizes, Neyman distribution. Systematic sampling. Ratio and regression estimators. Cluster sampling (one-stage, two-stage, etc.), parameter estimation. Sampling with unequal probabilities of selection, Horvitz-Thompson estimator.