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

<p>The aim of this paper is to investigate and discuss the common points shared, in their line of development, by both Sampling Theory and Design of Experiments. In fact, Sampling Theory adopts the main optimality criterion of the Optimal Design of Experiments, the minimization of variance, i.e. D-optimality. There is also an approach based on c-optimality, as far as ratio estimates are concerned, in Design of Experiments, and the A-optimality involved in a proposed Sampling technique. It is pointed out that the L2 norm is mainly applied as a distance measure.</p>
</abstract>

The aim of this paper is to investigate and discuss the common points shared, in their line of development, by both Sampling Theory and Design of Experiments. In fact, Sampling Theory adopts the main optimality criterion of the Optimal Design of Experiments, the minimization of variance, i.e. D-optimality. There is also an approach based on c-optimality, as far as ratio estimates are concerned, in Design of Experiments, and the A-optimality involved in a proposed Sampling technique. It is pointed out that the L2 norm is mainly applied as a distance measure.

Facing sampling techniques as an optimal design problem

Department of Informatics and Computer Engineering

Biometrical Letters

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

{"article-title":"Facing sampling techniques as an optimal design problem"}

The aim of this paper is to investigate and discuss the common points shared, in their line of development, by both Sampling Theory and Design of Experiments....

Facing sampling techniques as an optimal design problem

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 119 - 131

DOI: https://doi.org/10.2478/bile-2021-0009

Schlüsselwörter
sampling Theory, alphabetic optimality criteria, ratio estimates, mean square error

© 2020 Christos P. Kitsos, published by Sciendo

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

Facing sampling techniques as an optimal design problem

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 119 - 131

DOI: https://doi.org/10.2478/bile-2021-0009

Schlüsselwörtersampling Theory, alphabetic optimality criteria, ratio estimates, mean square error

© 2020 Christos P. Kitsos, published by Sciendo

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

Schlüsselwörter
sampling Theory, alphabetic optimality criteria, ratio estimates, mean square error