Computation for the analysis of designed experiments, Volume 1
Addresses the statistical, mathematical, and computational aspects of the construction of packages and analysis of variance (ANOVA) programs. Includes a disk at the back of the book that contains all program codes in four languages, APL, BASIC, C, and FORTRAN. Presents illustrations of the dual space geometry for all designs, including confounded designs.
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Simple Designed Experiments
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A*B*C interaction Adjusted Total algebra algorithm ANALYSIS OF VARIANCE ANOVA table array BASIC blocked design Brand calculated cell means Chapter common confounded construction contrasts covariate cxxxxxxxxxxxxxxx defined degrees of freedom design specification table design statement design table dimensions discussion Dose double precision dummy variables efficiency error term evaluated example F Pr F-test Figure float Fortran Fumigant function GENSTAT geometry Grand Mean Householder reflections identical input INTEGER language left argument linear main effects multiple nested notation Number of Observations NVARNM operator orthogonal orthogonal matrix output P-STAT package parentheses parsing partitioned plot projection projection matrix random regression replications residual mean square result right argument row and column Section Source of Variation squared length SS MS F stack statistical strata stratum subroutine subspace sum of squares treatment effects Typist variable names Variation DF SS Wilkinson SWEEP Within-Block