Split-plot experiments with time trends in easy-to-change factors Online publication date: Fri, 13-Aug-2010
by Mubashir Siddiqui, Kai Yang
International Journal of Quality Engineering and Technology (IJQET), Vol. 1, No. 3, 2010
Abstract: Split-plot experiments involve two types of factors, hard-to-change factors (HTC) and easy-to-change factors (ETC). In regular split-plot experiments, the experimental sequence of ETC factor levels should be randomised. However in many practical applications, the run sequence of ETC factors can only be changed in one direction. This restriction in the randomisation of ETC factors will create many serially correlated response observation subsequences, and regular analysis procedure will no longer be valid due to non independence of experimental residuals. In this paper, an integrated factorial and time series model is developed to analyse this kind of split-plot experiment with time trend in ETC factors.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 subs@inderscience.com