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Guest
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Hi,
I am reading Applied Linear Statistical Models. One drawback that I
feel about this book is that it discuss many examples, which is to
distracting. Numbers are give in those examples. Comments are buried
in the examples. If I skip the examples, I would miss some important
points. But if I don't skip the examples, it would take me too much
time to finish the book (this book is of 1000 pages)
However, I feel that the main points in the book can be concisely
written in the matrix form. Athough this book has include matrix
formulation, but it doesn't use it extensively. For example, the
examples are not written with the abstract matrix (I mean just using
symbols, such A, to represent the matrix)
I'm wondering if there is a well-written book that is more concise
than Applied Linear Statistical Models but roughly covers the same
topics?
Regards,
Peng |
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