Multivariate Nonparametric Methods with R [recurso electrónico] : An approach based on spatial signs and ranks / by Hannu Oja.
Tipo de material:
TextoSeries Lecture Notes in Statistics ; 199Editor: New York, NY : Springer New York, 2010Descripción: XIII, 232p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781441904683Tema(s): Statistics | Computer simulation | Biometrics | Computer science -- Mathematics | Mathematical statistics | Econometrics | Statistics | Statistical Theory and Methods | Simulation and Modeling | Biometrics | Econometrics | Statistics for Life Sciences, Medicine, Health Sciences | Computational Mathematics and Numerical AnalysisFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 519.5 Clasificación LoC:QA276-280Recursos en línea: Libro electrónico
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | QA276 -280 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 371124-2001 |
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| QA276 -280 Advances in Degradation Modeling | QA276 -280 Mathematical and Statistical Models and Methods in Reliability | QA276 -280 A First Course in Statistics for Signal Analysis | QA276 -280 Multivariate Nonparametric Methods with R | QA276 -280 Spectral Analysis of Large Dimensional Random Matrices | QA276 -280 Bayesian Item Response Modeling | QA276 -280 Design of Observational Studies |
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.
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 is just replaced by different L1 norms, observation vectors are replaced by spatial signs and ranks, and so on. A unified methodology starting with the simple one-sample multivariate location problem and proceeding to the general multivariate multiple linear regression case is presented. Companion estimates and tests for scatter matrices are considered as well. The R package MNM is available for computation of the procedures. This monograph provides an up-to-date overview of the theory of multivariate nonparametric methods based on spatial signs and ranks. The classical book by Puri and Sen (1971) uses marginal signs and ranks and different type of L1 norm. The book may serve as a textbook and a general reference for the latest developments in the area. Readers are assumed to have a good knowledge of basic statistical theory as well as matrix theory. Hannu Oja is an academy professor and a professor in biometry in the University of Tampere. He has authored and coauthored numerous research articles in multivariate nonparametrical and robust methods as well as in biostatistics.
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