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

Sampling and Estimation

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

400015

Credits

6.0

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

Perfect knowledge of descriptive statistics and inductive statistics;

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: Springer Verlag, ISBN 0-387-97528-4
  • Carl-Erik Särndal, Sixten Lundström (2005) Estimation in Surveys with Nonresponse. Chichester: Wiley, ISBN 0-470-01133-5
  • Pinheiro J, Coelho, P et all, As Sondagens (2016), Escolar Editora, ISBN  9789725925140.

Teaching method

Classical lectures; exercises; home works

Evaluation method

INtermediate test. Final exam. Participation in the courses.

Subject matter

• General framework, notation and terminology
• Simple random sampling
• Stratified random sampling
• Cluster sampling
• Two-stage sampling
• Estimation of a ratio
• Use of auxiliary information
• Estimation in domains