Analysis of Variance for Random Models, Volume 2: Unbalanced Data: Theory, Methods, Applications, and Data Analysis (2005 ed.)
By: Mario M. Ojeda (author), Hardeo Sahai (author)Hardback
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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.
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
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- ID: 9780817632298
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