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Confounded Experiments are Simple, Effficient and Misunderstood

Published online by Cambridge University Press:  03 October 2008

R. Mead
R. Mead
Affiliation:
University of Reading, Department of Applied Statistics, Whiteknights, Reading RG6 2AN, England
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Summary

Factorial treatment structure and, in particular, confounded designs are important methods of using experimental resources efficiently. Confounded experiments are not used, and possibly not understood, by experimenters. However, the construction and analysis of confounded designs is logically extremely simple, and can be expressed in terms of simple principles. Modern computing facilities can make confounded designs even more useful.

Information

Type
Research Article
Information
Experimental Agriculture , Volume 20 , Issue 3 , July 1984 , pp. 185 - 201
Copyright
Copyright © Cambridge University Press 1984

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References

REFERENCES

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