BALTIC-NORDIC-UKRAINIAN NETWORK
ON SURVEY STATISTICS

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Instructions for Speakers


Keynote speakers

Keynote speakers are expected to submit a one-page abstract by June 13.

Invited papers

Invited lecturers represent network countries. They give a 45 min. lecture on important topics in survey statistics theory and application.

Contributed speakers

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.

Deadline for abstracts and templates

Keynote, invited and contributed speakers should submit abstract of their talk for electronic Proceedings.

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, Non-probability surveys, Population statistics, Calibration and Model-assisted methods 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
  • Non-probability surveys
    • Methodology 
    • Experiences and examples from official statistics
    • Computation
  • 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
    • Model-assisted methods
    • 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


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Last update 16 May 2022

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