Title :
Investigation of a priori models of optimal experimentation
Author :
Naumov, A.A. ; Shityi, A.V.
Author_Institution :
Novosibirsk State Tech. Univ., Russia
Abstract :
The investigation is aimed at showing that the classic procedures of the experiments planning are effective and robust with due respect to the assumptions (hypotheses) concerning the properties of random errors of the regression models.
Keywords :
design of experiments; least squares approximations; optimisation; probability; regression analysis; a priori models; experiments planning; hypotheses; least squares method; optimal experimentation; optimization problem; probabilistic measure; random errors; regression models; response function estimation; robustness property; simplex structures; Control systems; Equations; Graphics; Informatics; Least squares methods; Random variables; Robustness; Systems engineering and theory; Testing;
Conference_Titel :
Modern Technique and Technologies, 2002. MTT 2002. Proceedings of the 8th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists
Print_ISBN :
0-7803-7373-1
DOI :
10.1109/SPCMTT.2002.1213793
