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Advanced methods for Sample Surveys


Advanced methods for Sample Surveys

Course Leader

Rémy Mariétan (Swiss Federal Statistical Office - SFSO)

Target Group

Junior or senior staff of methodology divisions using sample survey techniques in the production of statistics or staff with comparable knowledge.

Entry Qualifications

Good knowledge of basic sampling techniques and survey methodology and of the corresponding mathematical language. 


The objective of the course is to introduce participants to some advanced techniques of non-response treatment, variance estimation, calibration and sample coordination. Theoretical concepts and findings will be illustrated by examples and practical exercises. The course starts with an introduction to the R software, which will allow participants to better understand practical applications of presented survey techniques and their successful implementation in practice.

  • Introduction to the R software 
  • Non-response 
  • Calibration 
  • Variance estimation 
  • Sample coordination techniques 
Expected Outcome

At the end of the course, participants are expected to have a deeper understanding of the techniques they have learned and be able to apply successfully the new methodology in their daily practice.

Training MethodsThe course is based on lectures and practical exercises with the R software.


Required Reading 

  • Särndall C.E., Swensson B. and Wretman J. (1992). Model Assisted

Survey Sampling. PART I: Principles of Estimation for Finite

Populations and Important Sampling Designs (Chapters 1 to 5)

Suggested Reading
  • Groves, R.M., Dillman, D.A., Eltinge, J.L. and Little, R.J.A.

Editors (2002). Survey nonresponse, John Wiley, New York. 

  • Ohlsson, E. (1995). Coordination of samples using permanent random numbers. In Cox, B.G. et al., editors, Business Surveys Methods, chapter 9, pages 153-169. Wiley inc., New York, USA.
  • Tillé, Y. (2020). Sampling and estimation from finite populations, John Wiley & Sons Ltd.
Required Preparation

Free “R” software already installed on the participants’ computer.

There is no further required preparation for the course.


The lecturers are highly qualified methodologists from SFSO who are used to teaching courses in statistics.


Practical Information





Application  via National Contact Point


5 days

Neuchâtel, Switzerland

FSO Switzerland

Deadline: 02.09.2024