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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

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
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
Developing and applying geographical synthetic estimates of health literacy in GP clinical systems
Gill Rowlands,
David Whitney,
& Graham Moon
, 2018 , International Journal of Environmental Research and Public Health , 15 (8) , 1--9
DOI: 10.3390/ijerph15081709
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