Construction of a discrete D-optimal design for a linear regression model with Haar basis functions

2026

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DOI 10.32523/2077-9879-2026-17-2-10-17
Data confidence 70 medium
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Abstract

Parametrically linear regression models are widely used in practice to describe various types of dependencies. The goal of such experiments is to estimate the unknown parameters of the model and to verify the optimality of the chosen design points according to certain criteria.