Model-robust designs in multiresponse situations
The multiresponse model E(y[alpha]x)=[summation operator]l=1p[alpha] [theta][alpha]lf[alpha]l(x)+h[alpha](x), [alpha]=1,...,r, is considered, where h[alpha](x) is an unknown bias or contamination function from some class with a probability measure. Optimal designs are studied in terms of generalized least squares estimation and the average expected quadratic loss. The performance of the uniform design is also explored.
Volume (Year): 58 (2002)
Issue (Month): 4 (July)
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Yue, Rong-Xian, 2001. "A comparison of random and quasirandom points for nonparametric response surface design," Statistics & Probability Letters, Elsevier, vol. 53(2), pages 129-142, June.
- Krafft, Olaf & Schaefer, Martin, 1992. "D-Optimal designs for a multivariate regression model," Journal of Multivariate Analysis, Elsevier, vol. 42(1), pages 130-140, July.
When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:58:y:2002:i:4:p:369-379. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)
If references are entirely missing, you can add them using this form.