Research project

Tzavidis - Innovations in Small Area Estimation Methodologies

Staff

Lead researchers

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

Other researchers

Dr Yves Berger

Associate Professor
Connect with Yves

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

Research outputs

Stefano Marchetti & Nikolaos Tzavidis, 2021, Journal of Official Statistics
Type: article
Paul Walter, Marcus Gross, Timo Schmid & Nikolaos Tzavidis, 2021, Journal of the Royal Statistical Society: Series A (Statistics in Society), 184(4), 1501-1523
Type: article
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
Type: article
Rebecca Steorts, Timo Schmid & Nikolaos Tzavidis, 2020, International Statistical Review, 88(3), 580-598
Type: article
Marcus Groß, Ann-Kristin Kreutzmann, Ulrich Rendtel, Timo Schmid & Nikos Tzavidis, 2020, Journal of Official Statistics, 36(2), 297-314
Type: article
N. Rojas-Perilla, S. Pannier, T. Schmid & N. Tzavidis, 2019, Journal of the Royal Statistical Society. Series A: Statistics in Society, 183(1), 121-148
Type: article
A.K. Kreutzmann, S. Pannier, N. Rojas-Perilla, T. Schmid, M. Templ & N. Tzavidis, 2019, Journal of Statistical Software, 91(7)
Type: article