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
Programs
Programs where the course is taught:
- Specialization in Information Analysis and Management
- Specialization in Risk Analysis and Management
- Specialization in Knowledge Management and Business Intelligence
- Specialization in Information Systems and Technologies Management
- Specialization in Marketing Intelligence
- Specialization in Marketing Research and CRM
- Specialization in Knowledge Management and Business Intelligence – Working Hours Format
- Specialization in Information Systems and Technologies Management - Working Hours Format
- Specialization in Marketing Intelligence - Working Hours Format
- Post-Graduation in Information Analysis and Management
- Post-Graduation Risk Analysis and Management
- PostGraduate in Data Science for Marketing
- PostGraduate Digital Marketing and Analytics
- Post-Graduation in Knowledge Management and Business Intelligence
- Post-Graduation Information Systems and Technologies Management
- Post-Graduation in Marketing Intelligence
- Post-Graduation Marketing Research e CRM