On the Insensitivity Region for Fixed Effects Parameters and Its Relative Position to the Confidence Region for Variance Components
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F09%3A00009143" target="_blank" >RIV/00216275:25410/09:00009143 - 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
On the Insensitivity Region for Fixed Effects Parameters and Its Relative Position to the Confidence Region for Variance Components
Original language description
The maximum likelihood estimators of the fixed effects parameters need a suitable choice of a variance components starting value in the mixed linear regression models. The question is how to choose these starting values and what does happen if we changethem with some small drift. The task is to find a set of admissible input variance components values, it means a set of input values which cause only a small increase of the standard deviation of the estimator of any linear combination of the fixed effects parameters. Such a set is called an insensitivity region for fixed effects parameters. This paper should show an explicit formulation of this set, its properties and possible utilization.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Applied Mathematics
ISSN
1337-6365
e-ISSN
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Volume of the periodical
3
Issue of the periodical within the volume
2
Country of publishing house
SK - SLOVAKIA
Number of pages
9
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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