Count Data Small Area Estimation
Count Data Small Area Estimation is a statistical methodology within small area estimation that specifically addresses the problem of producing reliable estimates for small domains or subpopulations when the variable of interest consists of counts, typically modeled using discrete distributions such as the Poisson or negative binomial, and incorporates auxiliary information and hierarchical modeling techniques to improve estimation precision in data-sparse areas.
9
Publications
297
Citations
29
Authors
21
Institutions
Publications per year
2017–2026
2
Parents
9
Robust small area prediction for counts
Nikos Tzavidis, Maria Giovanna Ranalli, Nicola Salvati et al. · Statistical Methods in Medical Research · 2014 · 42 citations · Full text
1–5 of 9
29
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 29
21

University of Wollongong
Wollongong, Australia
2 h-index
2 publications
83 citations

University of Pisa
Pisa, Italy
2 h-index
2 publications
83 citations
University of Southampton
Southampton, United Kingdom
2 h-index
4 publications
84 citations

Australian Bureau of Statistics
Belconnen, Australia
2 h-index
2 publications
83 citations
Central Coast Local Health District
Sydney, Australia
1 h-index
2 publications
52 citations

University of Manitoba
Winnipeg, Canada
1 h-index
1 publications
11 citations

University of Manchester
Manchester, United Kingdom
1 h-index
2 publications
142 citations

Carleton University
Ottawa, Canada
1 h-index
1 publications
48 citations
1–8 of 21
1 publications · 14 citations
1
h-index
1 publications · 26 citations
1
h-index
1 publications · 15 citations
1
h-index
CJS · 1 publications · 11 citations
1
h-index
1 publications · 48 citations
1
h-index
1–5