Area-Level Gamma Mixed Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F17%3A00316348" target="_blank" >RIV/68407700:21340/17:00316348 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Area-Level Gamma Mixed Model
Original language description
In practise we can encounter many problems where is useful (and sometimes necessary) to employ small area estimation (SAE) methods to obtain reliable estimates of characteristics of interest (means, totals, quantiles, etc.). The contribution deals with an area-level gamma mixed model that can be useful in some applications involving only positive responses (e.g. in a financial sector). To obtain estimates of regression parameters and predictors of random effects the PQL algorithm and the ML Laplace approximation algorithm are introduced. In order to check the behaviour of the fitting algorithms we perform simulation experiments and compare acquired results of both of them.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50403 - Social topics (Women´s and gender studies; Social issues; Family studies; Social work)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SPMS 2017 - Stochastic and Physical Monitoring Systems, Proceedings of the international conference
ISBN
978-80-01-06338-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
19-26
Publisher name
Česká technika - nakladatelství ČVUT
Place of publication
Praha
Event location
Dobřichovice
Event date
Jun 19, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000425554500003