Multivariate Nonparametric Methods with R : An approach based on spatial signs and ranks
This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate normality; the regular L2 norm...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| سلاسل: | Lecture Notes in Statistics
199 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Multivariate nonparametric methods with R, an approach based on spatial signs and ranks, Hannu Oja, New York, Springer, 2010, 1 vol. (XIII-232 p.), Lecture notes in statistics, 978-1-441-90467-6 |
جدول المحتويات:
- Multivariate location and scatter models Location and scatter functionals and sample statistics Multivariate signs and ranks One-sample problem: Hotelling s T2-test One-sample problem: Spatial sign test and spatial median One-sample problem: Spatial signed-rank test and Hodges-Lehmann estimate One-sample problem: Comparisons of tests and estimates One-sample problem: Inference for shape Multivariate tests of independence Several-sample location problem Randomized blocks Multivariate linear regression Analysis of cluster-correlated data