Sampling Theory and Methods

Objectives

1. To understand simple random sampling with associated estimation and confidence interval methods
2. To determine sample sizes
3. To understand estimation of proportions
4. To understand unequal probability samping
5. To understand ratio and regression estimation
6. To understand stratified sampling
7. To understand cluster and systematic sampling
8. To understand multistage designs
9. To understand two-stage sampling
10. To understand capture-recapture sampling
11. To understand random response model for sensitive questions

General characterization

Code

200184

Credits

7.5

Responsible teacher

Docente a designar

Hours

Weekly - Available soon

Total - Available soon

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Prerequisites

  

Bibliography

- Malhotra, Naresh K., Birks, David F. (2012). Marketing research: an applied approach. Fourth European edition. Harlow: Prentice Hall/Financial Times.
- Vilares, M., Coelho, P.S. (2011 ). Satisfação e Lealdade do Cliente- Metodologias de avaliação, gestão e análise. Escolar Editora.

Teaching method

  

Evaluation method

  

Subject matter

1. Introduction; Estimating Population Mean and Total under Simple Random Sampling
2. Confidence Intervals and Sample Size
3. Auxiliary Information and Ratio Estimation
4. Auxillary Information and Regression Estimation
5. Stratified Sampling
6. Cluster sampling
7. Unequal Probability Sampling
8. Systematic Sampling
9. Multi-stage Designs
10. Double or Two-Phase Sampling
11. Capture-Recapture Sampling, Random Response Model
12. Line and Point Transects
13. Domain estimation