Description

Book Synopsis
This 1971 classic on linear models features material that can be understood by any statistician who understands matrix algebra and basic statistical methods.

Table of Contents
Generalized Inverse Matrices.

Distributions and Quadratic Forms.

Regression, or the Full Rank Model.

Introducing Linear Models: Regression on Dummy Variables.

Models Not of Full Rank.

Two Elementary Models.

The 2-Way Crossed Classification.

Some Other Analyses.

Introduction to Variance Components.

Methods of Estimating Variance Components from UnbalancedData.

Variance Component Estimation from Unbalanced Data: Formulae.

Literature Cited.

Statistical Tables.

Index.

Linear Models

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    A Paperback / softback by Shayle R. Searle

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      Publisher: John Wiley & Sons Inc
      Publication Date: 08/04/1997
      ISBN13: 9780471184997, 978-0471184997
      ISBN10: 0471184993

      Description

      Book Synopsis
      This 1971 classic on linear models features material that can be understood by any statistician who understands matrix algebra and basic statistical methods.

      Table of Contents
      Generalized Inverse Matrices.

      Distributions and Quadratic Forms.

      Regression, or the Full Rank Model.

      Introducing Linear Models: Regression on Dummy Variables.

      Models Not of Full Rank.

      Two Elementary Models.

      The 2-Way Crossed Classification.

      Some Other Analyses.

      Introduction to Variance Components.

      Methods of Estimating Variance Components from UnbalancedData.

      Variance Component Estimation from Unbalanced Data: Formulae.

      Literature Cited.

      Statistical Tables.

      Index.

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