Description

Book Synopsis
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:

Table of Contents
Review of Linear Algebra; Review of Statistical Results; Estimation in the Linear Model; Further Inference in the Linear Model; Analysis of Variance in Basic Designs; General Linear Model; Misspecified or Unknown Dispersion; Updates in the General Linear Model; Multivariate Linear Model; Linear Inference -- Other Perspectives.

Linear Models: An Integrated Approach

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    A Hardback by S Rao Jammalamadaka, Debasis Sengupta

    £999.99

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      Book details

      Publisher World Scientific Publishing Co Pte Ltd
      Published 4 March 2003
      ISBN-13 9789810245924
      978-9810245924
      ISBN-10 9810245920
      Also in:
      Probability and statistics

      Description

      Book Synopsis
      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:

      Table of Contents
      Review of Linear Algebra; Review of Statistical Results; Estimation in the Linear Model; Further Inference in the Linear Model; Analysis of Variance in Basic Designs; General Linear Model; Misspecified or Unknown Dispersion; Updates in the General Linear Model; Multivariate Linear Model; Linear Inference -- Other Perspectives.

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