E-Book, Englisch, 480 Seiten, eBook
Sahai / Ojeda Analysis of Variance for Random Models, Volume 2: Unbalanced Data
2005
ISBN: 978-0-8176-4425-3
Verlag: Birkhäuser Boston
Format: PDF
Kopierschutz: 1 - PDF Watermark
Theory, Methods, Applications, and Data Analysis
E-Book, Englisch, 480 Seiten, eBook
ISBN: 978-0-8176-4425-3
Verlag: Birkhäuser Boston
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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
