Description

Book Synopsis
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation.

Trade Review
"…I would recommend this book to undergraduate students as well as graduates." (MAA Reviews, January 28, 2008)

Table of Contents
1. An Up-Dated Viewpoint: Cell Means Models.

2. Basic Results for Cell Means Models: The 1-Way Classification.

3. Nested Classifications.

4. The 2-Way Crossed Classification with All-Cells-Filled Data: Cell Means Models.

5. The 2-Way Classification with Some-Cell Empty Data: Cell Means Models.

6. Models with Covariables (Analysis of Covariance): the 1-Way Classification.

7. Matrix Algebra and Quadratic Forms ( A Prelude to Chapter 8).

8. A General Linear Model.

9. The 2-Way Crossed Classification: Overparameterized Models.

10. Extended Cell Means Models.

11. Models with Covariables: The General Case and Some Applications.

12. Comments on Computing Packages.

13. Mixed Models: A Thumbnail Survey.

References.

Statistical Tables.

List of Tables and Figures.

Index.

Linear Models for Unbalanced Data

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    A Paperback / softback by Shayle R. Searle

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Linear Models for Unbalanced Data by Shayle R. Searle

      Publisher: John Wiley & Sons Inc
      Publication Date: 28/03/2006
      ISBN13: 9780470040041, 978-0470040041
      ISBN10: 0470040041
      Also in:
      Mathematics

      Description

      Book Synopsis
      WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation.

      Trade Review
      "…I would recommend this book to undergraduate students as well as graduates." (MAA Reviews, January 28, 2008)

      Table of Contents
      1. An Up-Dated Viewpoint: Cell Means Models.

      2. Basic Results for Cell Means Models: The 1-Way Classification.

      3. Nested Classifications.

      4. The 2-Way Crossed Classification with All-Cells-Filled Data: Cell Means Models.

      5. The 2-Way Classification with Some-Cell Empty Data: Cell Means Models.

      6. Models with Covariables (Analysis of Covariance): the 1-Way Classification.

      7. Matrix Algebra and Quadratic Forms ( A Prelude to Chapter 8).

      8. A General Linear Model.

      9. The 2-Way Crossed Classification: Overparameterized Models.

      10. Extended Cell Means Models.

      11. Models with Covariables: The General Case and Some Applications.

      12. Comments on Computing Packages.

      13. Mixed Models: A Thumbnail Survey.

      References.

      Statistical Tables.

      List of Tables and Figures.

      Index.

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