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- W1507431310 abstract "Publisher Summary This chapter discusses graphical methods used for internal comparisons in the univariate analysis of variance (ANOVA) and multivariate analysis of variance (MANOVA). It also demonstrates a two-way categorization of orthogonal analysis of variance situations. One way of the categorization pertains to the dimensionality, p , of response variables in the analysis—ANOVA ( p = 1) or MANOVA ( p > 1). The second factor in the categorization pertains to the orthogonal decomposition of n -space ( n = number of observations) as specified, for instance, by the design of the experiment. The three types of circumstances as indicated by the rows of Exhibit 1—the all single-degree-of-freedom case (e.g. all main and interaction effects in a two-level factorial experiment), the multiple but nevertheless equal degree-of-freedom case, and lastly the general decomposition situation wherein the different subspaces may have differing dimensionalities or degrees of freedom. The chapter also discusses the probability plotting techniques relevant to the univariate ANOVA cells numbered (I) and (II) in Exhibit 1, the probability plotting methods relevant to cells (IV) and (V), and a general introduction to the basics of probability plotting and of specific discussion of particular probability plots." @default.
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- W1507431310 date "1980-01-01" @default.
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- W1507431310 title "5 Graphical methods for internal comparisons in ANOVA and MANOVA" @default.
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- W1507431310 doi "https://doi.org/10.1016/s0169-7161(80)01007-3" @default.
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