Introduction 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 and Higher-Order Nested Classifications General Balanced Random Ef
Analysis of Variance for Random Models, Volume 2: Unbalanced Data: Theory, Methods, Applications, and Data Analysis
β Scribed by Hardeo Sahai, Mario M. Ojeda
- Publisher
- BirkhΓ€user
- Year
- 2004
- Tongue
- English
- Leaves
- 492
- Edition
- 2005
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
π SIMILAR VOLUMES
<p><P>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 measureme
<p><P>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 measureme