Analysis of Variance for Random Models, Volume 2: Unbalanced Data

Theory, Methods, Applications, and Data Analysis
2005
ISBN: 978-0-8176-3229-8
Verlag: Birkhäuser Boston

Buch, Englisch, 480 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1960 g

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.

Ojeda, Mario M.

Sahai, Hardeo

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung

Inhaltsverzeichnis

Matrix Preliminaries and General Linear Model.- Some General Methods for 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.