The course gives an introduction to the statistical theory and methods for sample surveys based on probability sampling. Some elementary sampling designs are presented and their statistical and mathematical implications are discussed. The treated sampling designs include:
- Bernoulli Sampling, Simple Random Sampling, Systematic Sampling, Poisson Sampling, Probability Proportional-to-Size Sampling, Stratified Sampling, Cluster Sampling.
The course also comprises a short introduction into the statistical programming language 'R', since data examples and solutions to data related problems are explained within the 'R' environment. Some preliminary basic knowledge about 'R' could therefore be helpful for understanding.