32821 - SURVEY SAMPLING

Scheda insegnamento

  • Docente Elisabetta Carfagna

  • Crediti formativi 6

  • SSD SECS-S/01

  • Modalità didattica Convenzionale - Lezioni in presenza

  • Lingua di insegnamento Inglese

SDGs

L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.

Istruzione di qualità Lavoro dignitoso e crescita economica Ridurre le disuguaglianze

Anno Accademico 2019/2020

Conoscenze e abilità da conseguire

By the end of the course the student should know the basic theory of survey sampling. In particular the student should be able: - to employ simple, stratified and probability sampling - to derive the estimators and associated standard errors of population in the different sampling strategies - to correct estimation by the ratio principle - to understand the difference between observational and experimental studies

Programma/Contenuti

Probability sampling

Simple random sampling

Sampling proportions and percentages

The estimation of sample size

Stratified random sampling

Further aspects of stratified random sampling

Sampling from two frames

Ratio estimators

Regression estimators

Systematic sampling

Area frame sample designs

Single-stage cluster sampling: clusters of equal size

Single-stage cluster sampling: clusters of unequal sizes

Subsampling with units of equal size

 

Double sampling

Sources of errors in surveys

Testi/Bibliografia

Cochran W.G. (1977). Sampling Techniques, third edition, Wiley, New York.

Chapters to be studied:

  • Introduction Chapter 1;
  • Simple random sampling Chapter 2;
  • Sampling Proportions and Percentages Chapter 3: from 3.1 to 3.2
  • Estimation of sample size Chapter 4: from 4.1 to 4.4; 4.6 ; 4.8; 4.11
  • Stratified random sampling Chapter 5: from 5.1 to 5.7;
  • Further aspects of stratified sampling Chapter 5A: from 5A.1 to 5A.3; from 5A.9 to 5A.11; 5A.15;
  • Ratio estimators Chapter 6: from 6.1 to 6.4;
  • Regression estimators Chapter 7: from 7.1 to 7.4; 7.6 and 7.10;
  • Systematic sampling Chapter 8: from 8.1 to 8.6; 8.8, 8.13, 8.14;
  • Single stage cluster sampling Chapter 9: from 9.1 to 9.4; 9.6;
  • Single-Stage Cluster Sampling: Clusters of Unequal Size Chapter 9A: from 9A.1 to 9A.3;
  • Subsampling with units of equal size Chapter 10: from 10.1 to 10.4;
  • Double sampling Chapter 12: 12.1; 12.2; 12.4;
  • Sources of error Chapter 13: 13.1.

Metodi didattici

Lectures and practicals

Modalità di verifica dell'apprendimento

Oral exam made of two parts.

In the first part, the student has to show to be able to solve exercises; in the second part, theoretical questions will be asked. The student has to show to be able to choose and apply the appropriate methods to be adopted for solving specific problems. The use of the manual is allowed for discussing the formulas.

Strumenti a supporto della didattica

PowerPoint files that will not be made available.

Orario di ricevimento

Consulta il sito web di Elisabetta Carfagna