Sahai / Ojeda Analysis of Variance for Random Models

Volume I: Balanced Data Theory, Methods, Applications and Data Analysis
Erscheinungsjahr 2013
ISBN: 978-0-8176-8168-5
Verlag: Birkhäuser Boston
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 484 Seiten, Web PDF

Reihe: Mathematics and Statistics (R0)

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.

Sahai, Hardeo

Ojeda, Mario M.

Inhaltsverzeichnis

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.