An Area-Level Gamma Mixed Model for Small Area Estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F23%3A00362716" target="_blank" >RIV/68407700:21340/23:00362716 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-04137-2_30" target="_blank" >https://doi.org/10.1007/978-3-031-04137-2_30</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-04137-2_30" target="_blank" >10.1007/978-3-031-04137-2_30</a>
Alternative languages
Result language
angličtina
Original language name
An Area-Level Gamma Mixed Model for Small Area Estimation
Original language description
This paper introduces an area-level gamma mixed model with log link for small area estimation. A Laplace approximation algorithm is implemented to estimate the model parameters. Empirical best predictors of domain means are derived and their mean squared errors are estimated by parametric bootstrap. An application to data from the Spanish living condition survey of 2008 is given, where the target is the estimation of average annual net incomes by province and sex.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/EF16_019%2F0000778" target="_blank" >EF16_019/0000778: Center for advanced applied science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Trends in Mathematical, Information and Data Sciences
ISBN
978-3-031-04136-5
Number of pages of the result
10
Pages from-to
359-368
Number of pages of the book
456
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
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