Analysis of Variance for Random Models Volume II: Unbalanced Data Theory, Methods, Applications, and Data Analysis /
Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA :
Birkhäuser Boston,
2005.
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.