Analysis of variance for random models. theory, methods, applications, and data analysis Volume 2, Unbalanced data :
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...
Đã lưu trong:
| Tác giả khác: | , |
|---|---|
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
Boston, MA :
Birkhäuser Boston
[20..].
Cham : Springer Nature |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Analysis of Variance for Random Models, Texte imprimé, 9780817632298 |
Mục lục:
- 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