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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      Book details

      Publisher Wiley-Interscience
      Published 8 April 1997
      ISBN-13 9780471184997
      978-0471184997
      ISBN-10 0471184993
      Also in:
      Mathematics Mathematical modelling

      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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