BALTIC-NORDIC-UKRAINIAN NETWORK
ON SURVEY STATISTICS

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  • 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




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Last update 27 July 1 August 2021