Item description for Linear Models: An Integrated Approach by Sreenivasa Rao Jammalamadaka & Debasis Sengupta...
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:
o Use of simple statistical ideas such as linear zero functions and covariance adjustment to explain the fundamental as well as advanced concepts o Emphasis on the statistical interpretation of complex algebraic results o A thorough treatment of the singular linear model, including the case of multivariate response o A unified discussion on models with a partially unknown dispersion matrix, including mixed-effects/variance-components models and models for spatial and time series data o Insight into updates on the linear model and their connection with diagnostics, design, variable selection, the Kalman filter, etc. o An extensive discussion on the foundations of linear inference, along with linear alternatives to least squares o Coverage of other special topics, such as collinearity, stochastic and inequality constraints, misspecified models, etc. o Simpler proofs of numerous known results o Pointers to current research through examples and exercises
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Studio: World Scientific Publishing Company
Est. Packaging Dimensions: Length: 9.1" Width: 5.9" Height: 1.5" Weight: 2.2 lbs.
Publisher World Scientific Publishing Company
ISBN 9810245920 ISBN13 9789810245924
Availability 0 units.
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Reviews - What do customers think about Linear Models: An Integrated Approach?
Excellent text Jan 30, 2006
This book deserves attention from researchers and students in statistics as well as people who are applying linear models and wish to go deeper into parts of the theory. The broad scope of linear model topics covered by the book has a very well-written and unified presentation. This is an easy-to-read introduction to the theory of linear models, which provide the foundation of regression and analysis of variance.