Linear Models And Regression With R: An Integrated Approach
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A01=Debasis Sengupta
A01=S Rao Jammalamadaka
Analysis of Variance
Author_Debasis Sengupta
Author_S Rao Jammalamadaka
Category=PBT
Diagnostics
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Linear Inference
Linear Models
Model-Building
Multivariate Response
Regression
Singular Design and Dispersion Matrices
Product details
- ISBN 9789811200403
- Publication Date: 08 Aug 2019
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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Starting with the basic linear model where the design and covariance matrices are of full rank, this book demonstrates how the same statistical ideas can be used to explore the more general linear model with rank-deficient design and/or covariance matrices. The unified treatment presented here provides a clearer understanding of the general linear model from a statistical perspective, thus avoiding the complex matrix-algebraic arguments that are often used in the rank-deficient case. Elegant geometric arguments are used as needed.The book has a very broad coverage, from illustrative practical examples in Regression and Analysis of Variance alongside their implementation using R, to providing comprehensive theory of the general linear model with 181 worked-out examples, 227 exercises with solutions, 152 exercises without solutions (so that they may be used as assignments in a course), and 320 up-to-date references.This completely updated and new edition of Linear Models: An Integrated Approach includes the following features:
