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Research project

Tzavidis - Innovations in Small Area Estimation Methodologies

Staff

Lead researcher

Professor Nikos Tzavidis PhD

Professor of Statistical Methodology

Research interests

  • Small Area Estimation and official statistics
  • Outlier robust inference; Quantile and M-quantile models
  • Geospatial data; Poverty mapping; Statistical inference under data aggregation and displacement
Connect with Nikos

Email: [email protected]

Other researchers

Dr Yves Berger

Associate Professor
Connect with Yves

Email: [email protected]

Professor Li-Chun Zhang

Professor in Social Statistics

Research interests

  • Graph sampling
  • Analysis of integrated data
  • Statistical uses of administrative sources
Connect with Li-Chun

Email: [email protected]

Research outputs

Robust estimation of the Theil index and the Gini coefficient for small areas
Stefano Marchetti & Nikolaos Tzavidis, 2021, Journal of Official Statistics
DOI: 10.2478/jos-2021-0041
Type: article
Domain prediction with grouped income data
Paul Walter, Marcus Gross, Timo Schmid & Nikolaos Tzavidis, 2021, Journal of the Royal Statistical Society: Series A (Statistics in Society), 184(4), 1501-1523
DOI: 10.1111/rssa.12736
Type: article
Robust estimation for small domains in business surveys
Paul A. Smith, Chiara Bocci, Nikolaos Tzavidis, Sabine Krieg & Marc JE Smeets, 2021, Journal of the Royal Statistical Society, Series C (Applied Statistics), 70(2), 312-334
DOI: 10.1111/rssc.12460
Type: article
Smoothing and benchmarking for small area estimation
Rebecca Steorts, Timo Schmid & Nikolaos Tzavidis, 2020, International Statistical Review, 88(3), 580-598
DOI: 10.1111/insr.12373
Type: article
Switching between different non-hierarchical administrative areas via simulated geo-coordinates: a case study for student residents in Berlin
Marcus Groß, Ann-Kristin Kreutzmann, Ulrich Rendtel, Timo Schmid & Nikos Tzavidis, 2020, Journal of Official Statistics, 36(2), 297-314
DOI: 10.2478/jos-2020-0016
Type: article