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Statements

Subject Item
n2:RIV%2F00216275%3A25410%2F09%3A00009143%21RIV10-MSM-25410___
rdf:type
skos:Concept n15:Vysledek
dcterms: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 change them 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. 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 change them 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.
dcterms:title
On the Insensitivity Region for Fixed Effects Parameters and Its Relative Position to the Confidence Region for Variance Components On the Insensitivity Region for Fixed Effects Parameters and Its Relative Position to the Confidence Region for Variance Components
skos:prefLabel
On the Insensitivity Region for Fixed Effects Parameters and Its Relative Position to the Confidence Region for Variance Components On the Insensitivity Region for Fixed Effects Parameters and Its Relative Position to the Confidence Region for Variance Components
skos:notation
RIV/00216275:25410/09:00009143!RIV10-MSM-25410___
n3:aktivita
n13:S
n3:aktivity
S
n3:cisloPeriodika
2
n3:dodaniDat
n6:2010
n3:domaciTvurceVysledku
n14:5960177
n3:druhVysledku
n10:J
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
331537
n3:idVysledku
RIV/00216275:25410/09:00009143
n3:jazykVysledku
n9:eng
n3:klicovaSlova
mixed linear regression model; maximum likelihood estimator; fixed effects parameters; variance components; insensitivity region
n3:klicoveSlovo
n11:insensitivity%20region n11:maximum%20likelihood%20estimator n11:fixed%20effects%20parameters n11:mixed%20linear%20regression%20model n11:variance%20components
n3:kodStatuVydavatele
SK - Slovenská republika
n3:kontrolniKodProRIV
[AC614F670443]
n3:nazevZdroje
Journal of Applied Mathematics
n3:obor
n17:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n6:2009
n3:svazekPeriodika
3
n3:tvurceVysledku
Boháčová, Hana
s:issn
1337-6365
s:numberOfPages
9
n12:organizacniJednotka
25410