Notes on parametric functions in the linear model

Starting from a simple Gauss–Markov model, this paper presents notes about criteria for the estimability of parametric functions of the vector of interest in linear models. The results obtained for the transformed models are compared with known results from the literature.

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Published in:Biometrical letters 2023-12, Vol.60 (2), p.211-215
Main Author: Szczepańska-Álvarez, Anna
Format: Article
Language:English
Subjects:
estimable parametric functions
linear univariate model
optimal design
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description Starting from a simple Gauss–Markov model, this paper presents notes about criteria for the estimability of parametric functions of the vector of interest in linear models. The results obtained for the transformed models are compared with known results from the literature.
doi_str_mv 10.2478/bile-2023-0015
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identifier ISSN: 2199-577X
ispartof Biometrical letters, 2023-12, Vol.60 (2), p.211-215
issn 2199-577X
1896-3811
2199-577X
language eng
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subjects estimable parametric functions
linear univariate model
optimal design
title Notes on parametric functions in the linear model
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