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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Bibliographic Details
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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Summary: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.
ISSN:2199-577X
1896-3811
2199-577X
DOI:10.2478/bile-2023-0015