Summer School on Survey Statistics 2021 Instructions for Speakers

Last modified by Maria Valaste on 2024/04/16 14:46

Home | Registration | Important Dates | Scientific Programme | Speakers | Instructions for Speakers | Sponsors | Committees | Contacts

Instructions for Speakers

Instructions for invited papers

Invited lecturers represent network countries. They give a 20 min. lecture having an educational approach and give the participants important knowledge in survey statistics.

Instructions for contributed papers

The authors of contributed papers are invited to submit his/her paper to the proceedings. The templates below should be used in preparing the paper. The author of contributed paper has 15 minutes for presentation. The presentation usually summarizes the aim of the research or application, the methodology used and some of the results obtained. It may point out some open questions that are suitable for discussion.

Topics for contributed papers

Topics on survey and official statistics in a broad sense are welcomed for contributed papers. Topics on the main themes, Data integration, Machine learning and Small area estimation, are encouraged.

Examples of topics:

  • Combining data from different sources
    • Integration of registers, sample surveys and big data
    • Register based statistics
    • Record linkage, data fusion
  • Use of big data, web and internet surveys
    • Big data in official statistics, methods and applications
    • Survey data mining
    • Web surveys, opt-in surveys
  • Survey sampling
    • Sampling methods and applications
    • Weighting and calibration methods, GREG estimation
    • Variance estimation
  • Survey methodology
    • Questionnaire design and testing
    • Data collection methods
    • Statistical disclosure control methods
  • Non-response and non-sampling errors in surveys
    • Data editing and imputation
    • Estimation in the presence of non-response
    • Measurement errors in surveys
  • Model-based and non-parametric methods
    • Multilevel and hierarchical modelling of survey data
    • Non-parametric methods in survey statistics
    • Bayesian methods
  • Small area estimation
    • Fay-Herriot models and applications
    • Mixed models, MSE estimation
    • Poverty mapping, disease mapping
  • Software in survey statistics
  • Teaching of survey statistics

---

Last update 1 August 2021