Objectives

At the end of the course, the student must be able to understand, describe and implement the some basic sampling designs and estimation procedures. The student is also able to prove the main results given in the course.

More generally, the student must be able to understand the possibilities and limitations of probabilistic surveys.

Contents

This course is about sampling in finite population. The content is mostly focused on offcial statistics.

We first introduce survey sampling in its historical context. We then present the most common sampling designs as well as the most common estimators. Exercises are included within the course.

References

- Y. Tillé (2001). Théorie des sondages : Echantillonnage et estimation en population finie, Dunod, Paris.

- Y. Tillé (2006), Sampling Algorithms, New York, Springer-Verlag

- P. Ardilly et Y. Tillé (2005). Sampling Methods : Exercises and Solutions, 382 pages, Springer-Verlag, New York.

Pre-requisites

- Multivariate calculus

- Linear algebra

- Probability and statistics

Evaluation

First attempt

Exam:

Written 2h00 hours

Documentation:

Not allowed

Calculator:

Not allowed

Evaluation:

Retake

Exam:

Written 2h00 hours

Documentation:

Not allowed

Calculator:

Not allowed

Evaluation: