Wiley, May 4, 1992 - Mathematics - 611 pages
The past six years have seen a substantial increase in the attention paid by research workers to the principles of experimental design. The Second Edition of brings this handbook up to date, while retaining the basic framework that made it so popular. Describes the most useful of the designs that have been developed with accompanying plans and an account of the experimental situations for which each design is most suitable. Examples come from diverse fields of research, with an emphasis on biology and agriculture, two of the authors' specialties. New chapters have been added: one discusses the fractional replication of experiments. A second is concerned with experiments of the factorial type that present new methods and designs in which the factors represent quantitative variables measured on a continuous scale. Other new material includes an introductory account of experimental strategies for finding the levels at which the factors must be set in order to obtain maximum response and coverage of new incomplete block designs.
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METHODS FOR INCREASING THE ACCURACY OF EXPERIMENTS
NOTES ON THE STATISTICAL ANALYSIS OF THE RESULTS
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2-factors ABCD additional adjusted amount analysis of variance appear applied arranged average balanced calculated columns compared comparisons complete components computed confounded consider contains degrees of freedom difference divided equal error error m.s. error variance estimate example experiment experimental factorial effect follows formula given gives incomplete block increase Jour latin square lattice levels linear main effects mean mean square measure ments method missing Note number of replicates observations obtained pair period places plots practice precision present probability quantity randomized blocks relative represent residual response rows rule shown shows significance single standard error statistical sub-unit sum of squares t-tests tion treat treatment combinations treatment means treatments true two-factor interactions units usual variation Yates yields