17658 - Sampling Methods

Learning outcomes

By the end of the course the Student will be able to plan sample surveys with basic sampling designs.

Course contents

Inference in finite and infinite populations.

Design based inference.

Simple random sampling with and without replacement. Sample size estimation.

Use of auxiliary information at the design stage:
- stratified sampling;
- unequal probability sampling.

Use of auxiliary information at the estimation stage:
- quotient estimator;
- regression estimator;
- calibration estimator.

Cluster sampling.

Readings/Bibliography

G. Cicchitelli, A. Herzel, G.E. Montanari, Il campionamento statistico. Il Mulino, Bologna, 1997.
Sharon Lohr, “Sampling: design and analysis”, Pacific Grove, Duxbury press, 1999.
Some additional readings will be indicated during the course.

Teaching methods

Each topic covered in the lectures will be followed by exercises in practical classes.

Assessment methods

Written test and a optional oral examination

Office hours

See the website of Fedele Pasquale Greco