Robust Nonparametric Statistical Methods - Couverture rigide

Hettmansperger, Thom

Couverture rigide

ISBN 10 : 1439809089 ISBN 13 : 9781439809082

Editeur : CRC Press Inc, 2010

Synopsis

Presenting an extensive set of tools and methods for data analysis, this second edition includes more models and methods and significantly extends the possible analyses based on ranks. It contains a new section on rank procedures for nonlinear models, a new chapter on models with dependent error structure, and new material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate models. The authors illustrate the methods using many real-world examples and R. Information about the data sets and R packages can be found at www.crcpress.com

A propos du livre

À propos de l?auteur

Thomas P. Hettmansperger is a professor emeritus of statistics at Penn State University. Dr. Hettmansperger is a fellow of the American Statistical Association and Institute of Mathematical Statistics and an elected member of the International Statistical Institute. His research interests span nonparametric statistics, robust methods, and mixture models.

Joseph W. McKean is a professor of statistics at Western Michigan University. His research interests include robust nonparametric procedures for linear, nonlinear, and mixed models and times series designs. A fellow of the American Statistical Association, Dr. McKean has developed highly efficient and high breakdown procedures.

Détails de l'édition

• Éditeur: CRC Press Inc
• Date d'édition: 2010
• Langue: anglais
• ISBN 10: 1439809089
• ISBN 13: 9781439809082
• Reliure: Relié
• Numéro d'édition: 2
• Nombre de pages: 554
• Coordonnées du fabricant: non disponible