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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

Data-driven transformations in small area estimation
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
DOI: 10.1111/rssa.12488
Type: article
The R package emdi for the estimation and mapping of regional disaggregated indicators
A.K. Kreutzmann, S. Pannier, N. Rojas-Perilla, T. Schmid, M. Templ & N. Tzavidis, 2019, Journal of Statistical Software, 91(7)
DOI: 10.18637/jss.v091.i07
Type: article
From start to finish
Nikolaos Tzavidis, Li-Chun Zhang, Angela Luna Hernandez, Timo Schmid & Natalia Rojas-Perilla, 2018, Journal of the Royal Statistical Society. Series A: Statistics in Society, 181(4), 927-979
DOI: 10.1111/rssa.12364
Type: article
The utility of geodemographic indicators in small area estimates of limiting long-term illness
Graham Moon, Liz Twigg, Kelvyn Jones, Grant Aitken & Joanna Taylor, 2018, Social Science and Medicine
DOI: 10.1016/j.socscimed.2018.06.029
Type: article
Estimation and testing in M-quantile regression with applications to small area estimation
Annamaria Bianchi, Enrico Fabrizi, Nicola Salvati & Nikolaos Tzavidis, 2018, International Statistical Review
DOI: 10.1111/insr.12267
Type: article