1.1. Background
1.2. Concepts, definitions and nomenclatures
1.3. Survey Typologies
1.4. Frame Set-Up
1.5. The questionnaires
2. Population and sampling
2.1. Finite populations and superpolations
2.2. Samples with or without replacement
2.3. The sample space
2.4. Random samples and sample design
2.5. The inclusion probabilities
2.6. Sample selection algorithms
3. The characteristics of some sample designs
3.1. Introduction
3.2. The simple random sample
3.3. Samples with variable probabilities
3.4. The systematic sample
3.5. The stratified sample
3.6. Cluster sampling
3.7. The use of two or more sampling stages
3.8. Sampling of spatial units
3.9. The balanced sampling
4. Design-Based Estimation techniques 4.1. Introduction
4.2. Statistics and estimators
4.3. Estimate of the total
4.4. The estimators of Hansen-Hurwitz (HH) and Horvitz-Thompson (HT)
4.5. Variance of estimates and estimate of sampling error
4.6. Estimators and relative variances for some sampling plans
5. The use of ancillary information in the sample estimate
5.1. Introduction
5.2. The use of auxiliary variables
5.3. Model-assisted or model-based estimates
5.4. The estimators of post-stratification of the differences and the ratio estimator
5.5. The generalized regression estimator
5.6. Calibration estimators
5.7. Correction from the effects of total non-response
5.8. Estimate for small domains
6. Data Editing
6.1. Introduction
6.2. The set of rules
6.3. Identifications of errors
6.4. Selective and interactive corrections
6.5. Methods of imputation
7. Data Dissemination
7.1. Introduction
7.2. Protection of confidentiality
7.3. Dissemination of elementary data
7.4. Dissemination of estimates or aggregated data