I'm looking for a good self study book to study Linear Models and ANOVA. Books which are more mathematical works better. Please recommend.
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2$\begingroup$ You might want to say a bit more as this is a huge topic. Do you want it to also include GLMs? With ANOVA, do you have a particular interest in experimental design? When you want to know about the mathematics of linear models, do you want a matrix-based approach? Are you interested in the algorithms for solving the normal equations or are you content that your software will solve them for you? $\endgroup$– SilverfishJul 30, 2016 at 10:49
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$\begingroup$ Oh yes.....sorry for not being specific. Mainly I'm looking into the mathematical part of linear models with matrix based approach. $\endgroup$– Shial DeJul 30, 2016 at 12:13
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2$\begingroup$ I suggest you edit this information into the question rather than leave it in the comments $\endgroup$– SilverfishJul 30, 2016 at 12:47
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$\begingroup$ stats.stackexchange.com/questions/2730/… $\endgroup$– StubbornAtomDec 1, 2019 at 19:56
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2 Answers
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Try the following book:
- Alvin C. Rencher and G. Bruce Schaalje. Linear Models in Statistics, Second Edition. Wiley.
I studied on it, and I highly recommend it.
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Weerahandi, S. (2004). Generalized Inference in Repeated Measures: Exact Methods in MANOVA and Mixed Models. Wiley-Interscience, Hoboken, New Jersey.