Analysis of Variance for Random Models, Volume 2: Unbalanced Data: v. 2 Unbalanced Data - Theory, Methods, Applications, and Data Analysis

Analysis of Variance for Random Models, Volume 2: Unbalanced Data: v. 2 Unbalanced Data - Theory, Methods, Applications, and Data Analysis

By: Mario M. Ojeda (author), Hardeo Sahai (author)Hardback

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Description

Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs with a detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level. It also includes numerical examples to analyze data from a wide variety of disciplines as well as any worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example.

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Contents

List of Figures List of Tables Preface Matrix Preliminaries and General Linear Model Some General Methods of Making Inferences about Variance Components One-Way Classification Two-Way Crossed Classification without Interaction Two-Way Crossed Classification with Interaction Three-Way and Higher-Order Crossed Classifications Two-Way Nested Classification Three-Way Nested Classification General 'r'-Way Nested Classification Appendices General Bibliography Author Index Subject Index

Product Details

  • publication date: 12/11/2004
  • ISBN13: 9780817632298
  • Format: Hardback, Paperback
  • Number Of Pages: 506
  • ID: 9780817632298
  • weight: 890
  • ISBN10: 0817632298

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