A SAS/IML Companion for Linear Models
Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formulas beh...
Gardado en:
| Autor Principal: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2010. |
| Series: | Statistics and Computing
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| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • A SAS/IML companion for linear models, Jamis J. Perrett, New York, Springer, 2010, 1 vol. (xiv-228 p.), Statistics and computing, 978-1-441-95556-2 • A SAS/IML Companion for Linear Models, Texte imprimé, 9781441955722 |
Table des matières:
- SAS/IML: A Brief Introduction IML Language Structure IML Programming Features Matrix Manipulations in SAS/IML Mathematical and Statistical Basics Linear Algebra The Multivariate Normal Distribution The General Linear Model Linear Mixed Models Statistical Computation Methods