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  4. Postgraduate Program in Statistical Systems with a specialization in Central Banks
  5. Sampling and Estimation

Sampling and Estimation

Objectives

·     Cover basic theoretical and practical aspects of survey sampling;

·     Familiarize participants with sampling terminology and the general objectives of sample surveys;

·     Present the classical statistical sampling methods, conditions and situations where each one 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

400015

Credits

7.5

Responsible teacher

Pedro Miguel Pereira Simões Coelho

Hours

Weekly - Available soon

Total - Available soon

Teaching language

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

Prerequisites

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

 

Bibliography

William G. Cochran (1977) Sampling Techniques, 3-rd Ed. New York: Wiley, ISBN 0-471-16240-X

Carl-Erik Särndal, Bengt Swensson, Jan Wretman (1992)

Model Assisted Survey Sampling. New York: S p r i n g e r V e r l a g , I S B N 0 - 3 8 7 - 9 7 5 2 8 - 4

Carl-Erik Särndal, Sixten Lundström (2005) Estimation in Surveys with Nonresponse. Chichester: W i l e y , I S B N 0 - 4 7 0 - 0 1 1 3 3 - 5

Pinheiro J, Coelho, P et all, As Sondagens (2016), Escolar Editora, ISBN 9789725925140.

Teaching method

Theoretical Practical courses based in presentations and a number of variants using very specific excel intereactive files.

Evaluation method

Midterm 35% Final exam 65%

Subject matter

The complete syllabus is in the respective moodle website: https://elearning.novaims.unl.pt/pluginfile.php/114160/mod_resource/content/0/Syllabus%20Sampling%20Theory%20