Because they require very little storage and can be computationally quite efficient, gradient algorithms are attractive methods for fitting large nonorthogonal analysis of variance (ANOVA) models. A ...
Part I: The analysis of variance in the case of models with fixed effects and independent observations of equal variance -- Point estimation -- Construction of confidence ellipsoids and tests in the ...
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