Computation for the Analysis of Designed Experiments
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
Design of Individual Programs
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Adjusted Total algebra algorithm ANALYSIS OF VARIANCE ANOVA table argument arithmetic array BASIC blocked design Brand calculated CALL cell means Chapter common confounded construction contrasts coordinates covariate cross-product matrix CXXXXXXXXXXXXXXX defined degrees of freedom design specification design statement design table diagonal dimensions discussion double precision dummy variables error term example F Pr F-test Figure float flptr2 Fortran function GENSTAT geometry Grand Mean Householder reflections hypothesis identical input INTEGER interaction language least squares linear main effects matrix multiplication multiple nested notation null Number of Observations orthogonal orthogonal matrix output P-STAT package parsing partitioned plot printmat projection matrix QR decomposition random regression replications result RETURN END row and column Section sequence Source of Variation space squared length stack statistical strata stratum subroutine subspace sum of squares triangular Typist Unit(Brand variable names Variation DF SS Wilkinson SWEEP Yates