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Graybill F.A. Matrices with Applications in Statistics

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Graybill F.A. Matrices with Applications in Statistics
N.-Y.: Brooks/Cole, 1982. - 300p.
The only mathematics required to enable a student to study the theory of the linear
statistical model is calculus and matrix or linear algebra. A number of topics in
matrix algebra that are useful in a study of the theory of the linear statistical model
are generally not available in a first or second course in matrix or linear algebra. In
fact, a number of these topics are not yet available in textbooks. Over the years, as
I have taught courses in the theory of the linear statistical model, I have collected a
number of results that have proved to be helpful and interesting. These results are
the reason for this book and they constitute the main content. I have tried to
organize these results so that the proofs of theorems rely on the results of theorems
on previous pages. This has been fairly difficult, since many of the results are somewhat
unrelated. A large number of them appear as problems.
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