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Mathematical statisticsRegression analysis
by Anant M. KshirsagarNot on Booklabria yet
This book would serve as a suitable text for a course in linear models. The Kshirsagar book is specifically designed for a one-semester course, and one would have to move quickly to cover every- thing in that time. This book covers such standard topics as full- and non-full-rank models, the Gauss—Mar- kov theorem, distribution of estimators, distribution of quadratic forms, idempotent matrices, estimability, generalized inverses, confidence re- gions, tests Of linear hypotheses, orthogonal polynomials, one-way and two-way classifications, and analysis of covariance.
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Applied linear statistical models
Michael H. Kutner
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