Survey and Sampling

lstat2200  2018-2019  Louvain-la-Neuve

Survey and Sampling
4 credits
15.0 h + 5.0 h
Kestemont Marie-Paule;
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.

At the end of this learning unit, the student is able to :


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.


The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
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
8 x 2 hours of masterful presentations and 2 x 2 hours of practical exercices on computer.
Evaluation methods
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.
Tillé, Y. (2001). Théorie des sondages : échantillonnage et estimation en populations finies, (Cours et exercices avec solutions), Dunod, Paris.
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.
Faculty or entity

Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Master [120] in Data Science Engineering

Master [120] in Economics: General

Master [120] in Statistic: General

Master [120] in data Science: Statistic

Master [120] in data Science: Information technology

Minor in Statistics and data sciences