NOVA Information Management School

Sampling and Estimation

Code

400015

Academic unit

NOVA Information Management School

Credits

6.0

Teacher in charge

Teaching language

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

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.

Prerequisites

Perfect knowledge of descriptive statistics and inductive statistics;

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

Bibliography

Barnet, V. (2002). Sample Survey - Principles & Methods. London, Arnold; Cochran, W. (1977). Sampling Techniques. New York, Wiley.; Dussaix, A.-M. and J.-M. Grosbras (1992). Exercices de Sondages. Paris, Economica.; Grosbras, J.-M. (1987). Methodes Statistiques des Sondages. Paris, Economica.; Särndal, C.-E., B. Swensson. J. Wretman (1992). Mo

Teaching method

Classical lectures; exercises; home works

Evaluation method

INtermediate test. Final exam. Participation in the courses.

Courses