2004/01/01 by V. V. Fedorov, Fedorov, Valery V., Werner G. Müller +1 · 1 citation
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design
paper · doi:10.57938/988141ec-5134-4759-9197-53836eaba12f
openalex publication_date 2004/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
In this paper we consider optimum design of experiments for correlated observations. We approximate the error component of the process by an eigenvector expansion of the corresponding covariance function. Furthermore we study the limit behavior of an additional white noise as a regularization tool. The approach is illustrated by some typical examples. (authors' abstract)