Update formulas for split-plot and block designs

This file is part of IDEAS, which uses RePEc data

Update formulas for split-plot and block designs

Author Info

Arnouts H.
Goos P.

Additional information is available for the following registered author(s):

Peter Goos

Abstract

For the algorithmic construction of optimal experimental designs, it is important to be able to evaluate small modifications of given designs in terms of the optimality criteria at a low computational cost. In this article, we propose update formulas for evaluating the impact of changes to the levels of easy-to-change factors and hard-to-change factors in split-plot designs as well as the impact of a swap of points between blocks or whole plots in block designs or split-plot designs.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

Publisher Info
Paper provided by University of Antwerp, Faculty of Applied Economics in its series Working Papers with number 2008022.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 14 pages
Date of creation: Dec 2008
Date of revision:
Handle: RePEc:ant:wpaper:2008022

Contact details of provider:
Postal: Prinsstraat 13, B-2000 Antwerpen
Web page: http://www.ua.ac.be/tew
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Joeri Nys).

Related research
Keywords:

This paper has been announced in the following NEP Reports:

NEP-ALL-2009-01-17 (All new papers)
NEP-EXP-2009-01-17 (Experimental Economics)

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.:

Kessels, Roselinde & Goos, Peter & Vandebroek, Martina, 2008. "Optimal designs for conjoint experiments," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2369-2387, January. [Downloadable!] (restricted)
J. A. John & D. Whitaker, 2000. "Recursive formulae for the average efficiency factor in block and row-column designs," Journal Of The Royal Statistical Society Series B, Royal Statistical Society, vol. 62(3), pages 575-583. [Downloadable!] (restricted)
Goos, Peter & Vandebroek, Martina, 2001. "-optimal response surface designs in the presence of random block effects," Computational Statistics & Data Analysis, Elsevier, vol. 37(4), pages 433-453, October. [Downloadable!] (restricted)
Nguyen, Nam-Ky & Miller, Alan J., 1992. "A review of some exchange algorithms for constructing discrete D-optimal designs," Computational Statistics & Data Analysis, Elsevier, vol. 14(4), pages 489-498, November. [Downloadable!] (restricted)
Bradley Jones & Peter Goos, 2007. "A candidate-set-free algorithm for generating "D"-optimal split-plot designs," Journal Of The Royal Statistical Society Series C, Royal Statistical Society, vol. 56(3), pages 347-364. [Downloadable!] (restricted)
Other versions:
- Jones B. & Goos P., 2006. "A candidate-set-free algorithm for generating D-optimal split-plot designs," Working Papers 2006006, University of Antwerp, Faculty of Applied Economics. [Downloadable!]

Full references

Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by encouraging others to register as authors.

This page was last updated on 2009-12-2.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.