Title :
The study of robust design GLM of second-order response surface in noise factors
Author_Institution :
Dept. of Appl. Math., Xi´´an Univ. of Post & Telecommun., Xi´´an, China
Abstract :
The purpose of this paper was to provide a method for disposing response surface with residual error heterogeneity by accommodating generalized linear modeling. The approach of Jan Engel and A. Freek Huele was taken as a starting point, treating noise variance as fixed effects. It was, however, assumed that process variability was caused by not only by the linear effects of noise factors but also by the reaction effects between noise factors. Therefore, a model of second-order response surface in noise factors is established. The model is fitted by iteratively reweighted least squares. Moreover, the paper discusses the model´s statistics analysis and test of hypothesis.
Keywords :
Taguchi methods; iterative methods; least squares approximations; noise; response surface methodology; statistical analysis; Taguchi robust design method; generalized linear modeling; iteratively reweighted least squares; noise factors; noise variance; process variability; residual error heterogeneity; robust design GLM; second-order response surface; statistics analysis; Analytical models; Computational modeling; Data models; Noise; Response surface methodology; Robustness; Surface treatment; GLM; noise factors; robust design; second-order response surface;
Conference_Titel :
Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6791-4
DOI :
10.1109/ISKE.2010.5680791
