Simulation data integrated regression modelling with enhanced precision Online publication date: Fri, 18-Dec-2009
by Vladimir B. Bokov
International Journal of Quality Engineering and Technology (IJQET), Vol. 1, No. 1, 2009
Abstract: Novel techniques for statistical modelling have been fashioned by computer-simulation and empirical data fusion. Via approximation of the true unknown model by mathematical product of available computer-simulation function and appropriate polynomial empirical function, this technique has allowed attaining the advanced level of model completeness. The purpose of this approximation is to represent the true model adequately and with improved precision. This allows a further focus on the quality issues and the use of formal statistical inference within theoretical considerations. Pneumatic gauge sensor modelling example has demonstrated that simulation data integrated regression model permits to attain minimum discrepancy from empirical evidence for the whole region of operability for model explanatory variables.
Online publication date: Fri, 18-Dec-2009
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Quality Engineering and Technology (IJQET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org