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Analysis of Variance and Covariance
1983This chapter concerns linear models of the form $$ y = X\beta + e $$ with e ~ N(0, σ 2 Iwhere y and e are random vectors of length N, X is an N × p matrix of constants, s is a vector of p parameters and I is the unit matrix. These models differ from the regression models of the previous chapter in that X, called the design matrix, consists ...
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Comparing individual means in the analysis of variance.
Biometrics, 1949J. Tukey
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An Analysis of Variance Test for Normality (Complete Samples)
, 1965S. Shapiro, M. Wilk
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A new method for non-parametric multivariate analysis of variance in ecology
, 2001Marti J. Anderson
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The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance
, 1937M. Friedman
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Permutational Multivariate Analysis of Variance (PERMANOVA)
, 2017Marti J. Anderson
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A Cluster Analysis Method for Grouping Means in the Analysis of Variance
, 1974A. Scott, M. Knott
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Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance
, 1998J. Hatfield
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