03496 - Sampling Theory

Learning outcomes

Intermediate course on survey sampling introducing the theory of complex surveys. The tools for planning complex surveys on real populations are given.

Course contents

Primary sampling units and secondary sampling units in finite populations sampling: one-stage cluster sampling with equal probabilities. One-stage cluster sampling with clusters of equal and unequal sizes. One-stage cluster sampling with unequal probabilities. Ratio estimation in one-stage cluster sampling. Systematic sampling.

Two-stage cluster sampling with equal and unequal probabilities. Two-stage cluster sampling with clusters of equal sizes.

Special problems in finite population sampling handled with two-phase sampling. Examples: two-phase sampling with ratio estimation, two-phase sampling for stratification. Regression estimation and sampling in two occasions as an example of regression estimation in two-phase sampling.

Small area estimation

Inference based on a superpopulation model: the main models

Readings/Bibliography

Sharon Lohr, “Sampling: design and analysis”,

Sections 3.2 , 3.3, 5.1 - 5.6, 6.1 - 6.5, 12.1, 12.3.

 

Teaching methods

Lectures

Assessment methods

Written and oral test .

Teaching tools

A file with the most important formulae can be downloaded.

Links to further information

http://www2.stat.unibo.it/cocchi/default.html

Office hours

See the website of Daniela Cocchi