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Design and Analysis of Factorial Experiments Via Interactive Computing in APL
Authors:Barry H. Margolin
Affiliation:Department of Statistics , Yale University , New Haven , Connecticut , 06520
Abstract:This paper discusses the use of interactive computing in APL for the design and analysis of an ad hoc experiment. As an example, a project involving a 16 × 4 × 2 experiment in 8 blocks of size 8 is reviewed. The desirability of utilizing single-degreeof-freedom pseudo-factors in both the design and analysis phases of such experiments is exhibited, and the detection of and compensation for heterogeneity of variance and outliers are discussed.
Keywords:APL  Blocking  Fractional Factorial Design  Graphical Analysis  Heterogeneity of Variance  Interactive Computing  Likelihood Ratio Test  Outliers  Pseudo-factors
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