Nonparametric Statistics: Theory and Methods - Couverture rigide

Deshpande, Jayant V; Naik-nimbalkar, Uttara; Dewan, Isha

Couverture rigide

ISBN 10 : 9814663573 ISBN 13 : 9789814663571

Editeur : World Scientific Publishing Co Pte Ltd, 2017

Synopsis

The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc.

Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again that they are useful. We feel that there is still need for proper texts/applications/reference books on Nonparametric Methodology.

This book will introduce various types of data encountered in practice and suggest the appropriate nonparametric methods, discuss their properties through null and non-null distributions whenever possible and demonstrate the very minor loss in power and efficiency in the nonparametric method, if any.

The book will cover almost all topics of current interest such as bootstrapping, ranked set sampling, techniques for censored data and Bayesian analysis under nonparametric set ups.

A propos du livre

Présentation de l'éditeur

The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc.

Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again that they are useful. We feel that there is still need for proper texts/applications/reference books on Nonparametric Methodology.

This book will introduce various types of data encountered in practice and suggest the appropriate nonparametric methods, discuss their properties through null and non-null distributions whenever possible and demonstrate the very minor loss in power and efficiency in the nonparametric method, if any.

The book will cover almost all topics of current interest such as bootstrapping, ranked set sampling, techniques for censored data and Bayesian analysis under nonparametric set ups.

Revue de presse

The presentation proceeds in a logical way, with illustrative examples and some exercises. The authors also point out the relevant R routines that implement some of the procedures discussed in the book. Readers interested in further references will find the detailed bibliography at the end helpful. The book is suitable for an introductory graduate course in nonparametric statistics or for advanced undergraduates. Practitioners of nonparametric statistical methods will also find it a useful reference. --Mathematical Reviews Clippings

Détails de l'édition

• Éditeur: World Scientific Publishing Co Pte Ltd
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 9814663573
• ISBN 13: 9789814663571
• Reliure: Relié
• Nombre de pages: 280
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne