Volume I: Balanced Data Theory, Methods, Applications and Data Analysis
Buch, Englisch, 484 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 774 g
ISBN: 978-1-4612-6470-5
Verlag: Birkhäuser Boston
ANOVA models involving random effects have found widespread application to experimental design in varied fields such as biology, econometrics, and engineering. Volume I of this two-part work is a comprehensive presentation of methods and techniques for point estimation, interval estimation, and hypotheses tests for linear models involving random effects. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (non-orthogonal models).
Accessible to readers with a modest mathematical and statistical background, the work will appeal to a broad audience of graduate students, researchers, and practitioners. It can be used as a graduate text or as a self-study reference.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
1 Introduction.- 2 One-Way Classification.- 3 Two-Way Crossed Classification without Interaction.- 4 Two-Way Crossed Classification with Interaction.- 5 Three-Way and Higher-Order Crossed Classifications.- 6 Two-Way Nested Classification.- 7 Three-Way and Higher-Order Nested Classifications.- 8 General Balanced Random Effects Model.- Appendices.- General Bibliography.- Author Index.
