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What is the go-to reference to understand both the theory behind MANOVA, or multivariate linear mixed models in general, and to understand application?

I can find R-vignettes lying around the web, but isn't there a proper book that teaches it from scratch?

My current issue is modelling a multivariate response vector, in a linear model, using both random effects and main effects (discrete + continuous).

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  • $\begingroup$ This seems to be off topic here. $\endgroup$ Apr 18, 2017 at 12:19
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    $\begingroup$ There's a tag called "references"? It's also a specific topic, so I don't think answers are going to be like "I prefer this book out of these 20 alternatives", but rather "here are the 2-3 main classics". $\endgroup$
    – pissen
    Apr 18, 2017 at 12:22

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There isn't many books dedicated specifically to MANOVA, one which gets good reviews on amazon is [Applied MANOVA and Discriminant Analysis] by Huberty & Olejnik. If you want a book with the mathematical details, you would need a book on theoretical multivariate analysis like Rencher (one chapter) or T W Anderson.

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