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Title: Note on the estimation of parameters of the mean and the variance in $n$-stage linear models (English)
Author: Volaufová, Júlia
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 33
Issue: 1
Year: 1988
Pages: 41-48
Summary lang: English
Summary lang: Russian
Summary lang: Slovak
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Category: math
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Summary: The paper deals with the estimation of the unknown vector parameter of the mean and the parameters of the variance in the general $n$-stage linear model. Necessary and sufficient conditions for the existence of the uniformly minimum variance unbiased estimator (UMVUE) of the mean-parameter under the condition of normality are given. The commonly used least squares estimators are used to derive the expressions of UMVUE-s in a simple form. (English)
Keyword: general $n$-stage linear model
Keyword: necessary and sufficient conditions
Keyword: existence of the uniformly minimum variance unbiased estimator
Keyword: mean parameter
Keyword: condition of normality
Keyword: least squares estimators
MSC: 62F10
MSC: 62H12
MSC: 62J05
MSC: 62J10
idZBL: Zbl 0635.62067
idMR: MR0934373
DOI: 10.21136/AM.1988.104285
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Date available: 2008-05-20T18:33:49Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/104285
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Reference: [1] J. Kleffe: Simultaneous estimation of expectation and covariance matrix in linear models.Math. Operat. Statist., Ser. Statistics (1978) No 3, 443-478. Zbl 0415.62026, MR 0522072
Reference: [2] L. Kubáček: Multistage regression model.Aplikace matematiky 31 (1986) No. 2, 89-96. MR 0837470
Reference: [3] J. Volaufová: Estimation of parameters of mean and variance in two-stage linear models.Aplikace matematiky 32 (1987) No. 1, 1 - 8. MR 0879324
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