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A Gentle Introduction to Optimal Design for Regression Models
Timothy E. O'Brien and Gerald M. Funk
The American Statistician
Vol. 57, No. 4 (Nov., 2003), pp. 265-267
Stable URL: http://www.jstor.org/stable/30037294
Page Count: 3
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This article demonstrates and underscores the equivalence between a variance-maximization exercise and the methodology involved in obtaining and verifying the optimal design for a key model function. It thus provides an alternate solution to the variance exercise as well as a means to introduce and illustrate the concepts of optimal design theory and practice in a simple and clear manner.
The American Statistician © 2003 American Statistical Association