Notes on parametric functions in the linear model

Anna Szczepańska-Álvarez

doi:10.2478/bile-2023-0015

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Notes on parametric functions in the linear model

Biometrical Letters

Volume 60 (2023): Issue 2 (December 2023)

By: Anna Szczepańska-Álvarez

Open Access

|Dec 2023

Abstract

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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Articles in this issue

DOI: https://doi.org/10.2478/bile-2023-0015 | Journal eISSN: 2199-577X | Journal ISSN: 1896-3811

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Language: English

Page range: 211 - 215

Published on: Dec 29, 2023

Published by: Polish Biometric Society

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

estimable parametric functions,

linear univariate model,

optimal design

Related subjects:

Life sciences,

Bioinformatics,

Life sciences, other,

Mathematics,

Probability and statistics,

Applied mathematics

© 2023 Anna Szczepańska-Álvarez, published by Polish Biometric Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 60 (2023): Issue 2 (December 2023)