Review in Journal of the American Statistical Association (JASA)

(by Timothy J. Robinson, March 2004)

Review in Biometrics

(by Alexander N. Donev, June 2004)

Review in Journal of Applied Statistics

(by Philip Prescott)

This program computes the best possible designs for a blocked experiment. The search is over a finite grid of candidate points, which must be specified in the input. The default set of candidate points assumes a hypercubic design region and uses the points of a full factorial design as the set of candidate points. Appendix A of Chapter 4 contains a concise overview of the program.

Input and Output Files

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BLOCKAA.FOR / BLOCKAA.EXE

This program combines the program BLOCK.FOR and the adjustment algorithm (AA) described in Section 4.7.3. The adjustment algorithm is outlined in Appendix B of Chapter 4. The format of the input files is identical to that of the program BLOCK.FOR. Note however that the adjustment algorithm is not useful when the experimental factors are qualitative.

Input and Output Files

* * *

This program computes the best possible design for a split-plot experiment with a prespecified number of whole plots and prespecified whole plot sizes. This design problem is tackled in Chapter 6. The search for the optimal design is over a finite grid of candidate points, which must be specified in the input. The default set of candidate points assumes a hypercubic design region and uses the points of a full factorial design as the set of candidate points. Appendix A of Chapter 6 contains a brief description of the program.

Input and Output Files

* * *

SPD2.FOR / SPD2.EXE

This program computes the best possible design for a split-plot experiment under the assumption that the levels of the whole plot factors are changed as little as possible. The search is over a finite grid of candidate points, which must be specified in the input. The default set of candidate points assumes a hypercubic design region and uses the points of a full factorial design as the set of candidate points. Appendix A of Chapter 7 contains a concise overview of the program.

Input and Output Files

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SPD3.FOR / SPD3.EXE

The program SPD3.FOR computes the best possible split-plot designs when no restrictions are imposed on the number of whole plots or on the whole plot sizes. Nevertheless, the program has an option to specify an upper bound for the number of whole plots. The search for the optimal design is over a finite grid of candidate points, which must be specified in the input. The default set of candidate points assumes a hypercubic design region and uses the points of a full factorial design as the set of candidate points. The appendix to Chapter 8 contains an outline of the design construction algorithm.

Input and Output Files

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If you would like to order the book in your local bookshop, it is helpful to mention the ISBN number 0-387-95515-1.

Peter Goos is a Professor at the University of Antwerp, where he teaches basic statistics to economics students. He also teaches Total Quality Management at the International School of Management in St.-Petersburg (Russia) and is involved in executive training programs. He obtained a Ph.D. in Applied Economics from the Katholieke Universiteit Leuven (2001). Dr. Goos wote his dissertation, as well as a number of methodological articles, on various aspects of designed experiments.

A more detailed outline of his career can be found at his website http://users.chello.be/peter.goos/. Dutch speaking people might be interested in visiting his page at the University of Antwerp: http://www.ua.ac.be/peter.goos/