An Introduction to Modern Nonparametric Statistics - Couverture rigide

Higgins, James

 
9780534387754: An Introduction to Modern Nonparametric Statistics
Couverture rigide
ISBN 10 : 0534387756 ISBN 13 : 9780534387754
Editeur : Brooks/Cole, 2003

Synopsis

Guided by problems that frequently arise in actual practice, James Higgins’ book presents a wide array of nonparametric methods of data analysis that researchers will find useful. It discusses a variety of nonparametric methods and, wherever possible, stresses the connection between methods. For instance, rank tests are introduced as special cases of permutation tests applied to ranks. The author provides coverage of topics not often found in nonparametric textbooks, including procedures for multivariate data, multiple regression, multi-factor analysis of variance, survival data, and curve smoothing. This truly modern approach teaches non-majors how to analyze and interpret data with nonparametric procedures using today’s computing technology.

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À propos de l?auteur

James J. Higgins is Professor of Statistics at Kansas State University and Fellow of the American Statistical Association. He is the co-author of the Duxbury textbook CONCEPTS IN PROBABILITY AND STOCHASTIC MODELING with Sallie Keller-McNulty and he is author of INTRODUCTION TO MODERN NONPARAMETRIC STATISTICS as well as having over 80 scientific publications to his credit. In addition, he is a statistical consultant for Kansas State Research and Extension. His research interests include nonparametric statistics and reliability theory.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Brooks/Cole
Date d'édition
2003
Langue
anglais
ISBN 10 
0534387756
ISBN 13 
9780534387754
Reliure
Relié
Nombre de pages
500
Coordonnées du fabricant
non disponible
Personne responsable
non disponible