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  5. Sampling Theory and Methods

Sampling Theory and Methods

Objectives

Curricular unit objectives:
To cover basic theoretical and practical aspects of survey sampling
Familiarize participants with sampling terminology and the general objectives of sample surveys
Presenting the classical Statistical sampling methods, conditions and situations where each is
appropriate
Provide practice in applying the sampling methods discussed in class and the calculations of sample
dimensions, desired estimates and their measures of precision
Be able to apply new knowledge in a daily work environment

General characterization

Code

200184

Credits

7.5

Responsible teacher

José António de Almeida Pinheiro

Hours

Weekly - Available soon

Total - Available soon

Teaching language

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

Prerequisites

Previous knowledge for the subject

 

  • Perfect knowledge of general statistics
    • descriptive statistics
    • inductive statistics;
  • Perfect conceptual master of specific concepts like
    • Random Variable
    • Distribution
    • Parameters
    • Estimator
    • Estimate
    • Estimators¿ properties
    • Confidence intervals
    • Hypothesis testing
    • Central limit Theorem

Bibliography

Teaching method

Classical theoretical and practical classes with many numerical examples. 

Evaluation method

Midterm test      25%    

Final exam        60%    

 Group works   15%    

3 The weights are the same for both exams.

 

Subject matter

1.   General framework, notation and terminology

2.   Simple random sampling

3.   Stratified random sampling

4.   Cluster sampling

5.   Two-stage sampling

6.   Estimation of a ratio

7.   Use of auxiliary information

8.   Estimation in domains