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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
Other researchers

Dr Yves Berger

Associate Professor

Professor Li-Chun Zhang

Professor in Social Statistics

Research interests

  • Graph sampling
  • Analysis of integrated data
  • Statistical uses of administrative sources

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
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
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
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
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