Biometrical Letters Vol. 58(2), 2021, pp. 119-131
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FACING SAMPLING TECHNIQUES AS AN OPTIMAL DESIGN PROBLEM
Christos P. Kitsos Department of Informatics and Computer Engineering, University of West Attica, Agiou Spiridonos 28, 12243, Aigaleo, xkitsos@uniwa.gr |
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. Doptimality. 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.
sampling Theory, alphabetic optimality criteria, ratio estimates, mean square error
