<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Notes on parametric functions in the linear model

Department of Mathematical and Statistical Methods

Biometrical Letters

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"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...

Notes on parametric functions in the linear model

Published Online: Dec 29, 2023

Page range: 211 - 215

DOI: https://doi.org/10.2478/bile-2023-0015

Keywords
estimable parametric functions, linear univariate model, optimal design

© 2023 Anna Szczepańska-Álvarez, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Notes on parametric functions in the linear model

Published Online: Dec 29, 2023

Page range: 211 - 215

DOI: https://doi.org/10.2478/bile-2023-0015

Keywordsestimable parametric functions, linear univariate model, optimal design

© 2023 Anna Szczepańska-Álvarez, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
estimable parametric functions, linear univariate model, optimal design