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Article

Title: Multistage regression model (English)
Author: Kubáček, Lubomír
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 31
Issue: 2
Year: 1986
Pages: 89-96
Summary lang: English
Summary lang: Russian
Summary lang: Slovak
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Category: math
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Summary: Necessary and sufficient conditions are given under which the best linear unbiased estimator (BLUE) $\hat{\beta}_i(Y_1,\dots, Y_i)$ is identical with the BLUE $\hat{\beta}_i(\hat{\beta}_1,\dots, \hat{\beta}_{i-1}, Y_i)$; $Y_1\dots, Y_i$ are subvectors of the random vector $Y$ in a general regression model $(Y, X\beta,\sum)$, $(\beta'_1,\dots,\beta'_i)'=\beta$ a vector of unknown parameters; the design matrix $X$ having a special so called multistage struture and the covariance matrix $\sum$ are given. (English)
Keyword: mixed linear model
Keyword: necessary and sufficient conditions
Keyword: best linear unbiased estimator
Keyword: BLUE
Keyword: multistage structure
Keyword: regression model
MSC: 62J05
idZBL: Zbl 0595.62062
idMR: MR0837470
DOI: 10.21136/AM.1986.104189
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Date available: 2008-05-20T18:29:30Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/104189
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Reference: [1] Lubomír Kubáček: Efficient estimates of points in a net constructed in stages.Studia geoph. et geod. 15, 1971, 246-253.
Reference: [2] Lubomír Kubáček: Locally best quadratic estimators.Math. Slovaca 35, 1985, 393 - 408. MR 0820638
Reference: [3] C. R. Rao: Linear Statistical Inference and Its Applications.J. Wiley, N. York 1965. Zbl 0137.36203, MR 0221616
Reference: [4] С. R. Rao S. K. Mitra: Generalized Inverse of Matrices and Its Applications.J. Wiley, N. York 1971. MR 0338013
Reference: [5] Júlia Volaufová: Estimation of mean and variance in two-stage linear models.(To appear in Aplikace matematiky.)
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