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The Analysis of Variance

Fixed, Random and Mixed Models

  • Hardeo Sahai
  • Mohammed I. Ageel

Table of contents

  1. Front Matter
    Pages i-xxxv
  2. Hardeo Sahai, Mohammed I. Ageel
    Pages 1-9
  3. Hardeo Sahai, Mohammed I. Ageel
    Pages 11-123
  4. Hardeo Sahai, Mohammed I. Ageel
    Pages 125-175
  5. Hardeo Sahai, Mohammed I. Ageel
    Pages 177-280
  6. Hardeo Sahai, Mohammed I. Ageel
    Pages 281-345
  7. Hardeo Sahai, Mohammed I. Ageel
    Pages 347-394
  8. Hardeo Sahai, Mohammed I. Ageel
    Pages 395-429
  9. Hardeo Sahai, Mohammed I. Ageel
    Pages 431-460
  10. Hardeo Sahai, Mohammed I. Ageel
    Pages 461-482
  11. Hardeo Sahai, Mohammed I. Ageel
    Pages 483-542
  12. Hardeo Sahai, Mohammed I. Ageel
    Pages 543-567
  13. Back Matter
    Pages 569-742

About this book

Introduction

The analysis of variance (ANOYA) models have become one of the most widely used tools of modern statistics for analyzing multifactor data. The ANOYA models provide versatile statistical tools for studying the relationship between a dependent variable and one or more independent variables. The ANOYA mod­ els are employed to determine whether different variables interact and which factors or factor combinations are most important. They are appealing because they provide a conceptually simple technique for investigating statistical rela­ tionships among different independent variables known as factors. Currently there are several texts and monographs available on the sub­ ject. However, some of them such as those of Scheffe (1959) and Fisher and McDonald (1978), are written for mathematically advanced readers, requiring a good background in calculus, matrix algebra, and statistical theory; whereas others such as Guenther (1964), Huitson (1971), and Dunn and Clark (1987), although they assume only a background in elementary algebra and statistics, treat the subject somewhat scantily and provide only a superficial discussion of the random and mixed effects analysis of variance.

Keywords

Generalized linear model SAS SPSS STATISTICA Statistik analysis of variance calculus classification correlation ksa statistics

Authors and affiliations

  • Hardeo Sahai
    • 1
    • 2
  • Mohammed I. Ageel
    • 3
  1. 1.University of Puerto RicoSan JuanUSA
  2. 2.University of VeracruzXalapa, VeracruzMexico
  3. 3.Abha CampusKing Saud UniversityAbhaSaudi Arabia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-1344-4
  • Copyright Information Springer Science+Business Media New York 2000
  • Publisher Name Birkhäuser, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7104-8
  • Online ISBN 978-1-4612-1344-4
  • Buy this book on publisher's site