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Facing sampling techniques as an optimal design problem

Open Access
|Dec 2021

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.

DOI: https://doi.org/10.2478/bile-2021-0009 | Journal eISSN: 2199-577X | Journal ISSN: 1896-3811
Language: English
Page range: 119 - 131
Published on: Dec 30, 2021
Published by: Polish Biometric Society
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2021 Christos P. Kitsos, published by Polish Biometric Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.