Linear Models: An Integrated Approach aims to provide a clear and deep understanding of the general linear model using simple statistical ideas. Elegant geometric arguments are also invoked as needed and a review of vector spaces and matrices is provided to make the treatment self-contained. Complex, matrix-algebraic methods, such as those used in the rank-deficient case, are replaced by statistical proofs that are more transparent and that show the parallels with the simple linear model.This book has the following special features:
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Readership: Researchers, lecturers and postgraduates in statistics and applied mathematics
"The broad scope of linear model topics covered by the book has a very well-written and unified presentation.?
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Seller: BOOKWEST, Phoenix, AZ, U.S.A.
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