Sampling and Estimation
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 environmen
José António de Almeida Pinheiro
Weekly - Available soon
Total - Available soon
Portuguese. If there are Erasmus students, classes will be taught in English
Perfect knowledge of descriptive statistics and inductive statistics.
?On September 15, 2018, Saturday, from 14 to 18 PM an extra course covering the essentials of statistics from the perspective of Sampling and Estimation will be held.
The course is optional but the subjects cannot be revisited during the classes.
This course is designed to put at same level students' statistical knowledge, given their diverse backgrounds.
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
Theoretical courses, practical courses and group works.
Midterm test 25%
Final exam 60%
Group works 15%
The weights are the same for both exams
· 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
Programs where the course is taught: