Items related to Linear Models: An Integrated Approach
Synopsis
Emphasizing statistical interpretation of complex algebraic results, Sengupta (Indian Statistical Institute) and Jammalamadaka (statistics, University of California-Santa Barbara) develop the basic theory of linear models using the linear zero function and the principle of covariance adjustment. Geometric arguments are involved 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 show the parallels with the simple linear model. Familiarity with statistical inference and linear algebra at the upper division or first-year graduate level is required. Mastery of algebra is not a prerequisite. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)
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From the Publisher
Readership: Researchers, lecturers and postgraduates in statistics and applied mathematics
Review
"The broad scope of linear model topics covered by the book has a very well-written and unified presentation.?
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Linear Models: An Integrated Approach
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Linear Models: An Integrated Approach
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Linear Models : An Integrated Approach
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Linear Models : An Integrated Approach
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Linear Models : An Integrated Approach
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Linear Models: An Integrated Approach
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Linear Models : An Integrated Approach
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Linear Models: An Integrated Approach
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Linear Models: An Integrated Approach
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Gebunden. Condition: New. This text 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-con. Seller Inventory # 599231461
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Linear Models: An Integrated Approach
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Buch. Condition: Neu. Neuware - 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. Seller Inventory # 9789810245924
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