Survey and Sampling

Teacher(s)

Kestemont Marie-Paule;

Language

French

Main themes

Topics to be treated - General framework of inference in finite population; population, sampling, statistics for the inference based on experimental data, linear homogenous estimation: elementary units, complex units. - Sampling with unequal probabilities: Hansen-Hurwitz and Horvitz-Thompson estimators, for the particular case of simple random sampling. - Estimators improvement through auxiliary information: ratio estimator, regression estimator - Sampling from complex units: stratified sampling, cluster sampling, two stages sampling. - Sampling from biological populations: basic issues in sampling, estimation of the population size.

Aims

At the end of this learning unit, the student is able to :
1	Objective (in terms of abilities and knowledge) This course aims at providing the student the basic knowledges on the sampling methods, with a particular, but not exclusive, emphasis on sampling from (finite) human populations. At the end of the course, the student should be able to correctly designing a simple survey and analysing the results.

Content

General framework of  inference in finite population :

• Techniques of random samplings and estimators properties.
• Simple random sampling
• Stratified random sampling
• Uneven probability sampling
• Cluster sampling
• Multi-level sampling

Estimation improvement by use of auxiliary information.

Teaching methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

8 x 2 hours of masterful presentations and 2 x 2 hours of practical exercices on computer.
This teaching is designed to adapt quickly to health developments (face-to-face, co-modal or distance teaching). Students are encouraged to regularly check their class schedule on ADE as well as the information available on Moodle.

Evaluation methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

Written examination in session : 14 points on 20.
Individual project delivered for the beginning of the first session : 6 points on 20.

Online resources

MOODLEUCL : lecture LSTAT2200.

Bibliography

Mouchart M. et J.-M. Rolin (1981), Enquêtes et Sondages, Série " Recyclage en Statistique ", Vol.5, , Louvain : U.C.L., Comité de Statistique.
Sharon Lohr (1999), Sampling : Design and Analysis, Duxbury Press Rao Poduri S.R.S. (2000), Sampling Methodologies with Applications, London : Chapman and Hall.

Teaching materials

• transparents sur moodle

Faculty or entity

LSBA