Nonparametric Simple Regression: Smoothing Scatterplots - Couverture souple

Fox, John

Couverture souple

ISBN 10 : 0761915850 ISBN 13 : 9780761915850

Editeur : SAGE Publications, Inc, 2000

Synopsis

John Fox

introduces readers to the techniques of kernel estimation, additive nonparametric regression, and the ways nonparametric regression can be employed to select transformations of the data preceding a linear least-squares fit.

A propos du livre

À propos de l?auteur

John Fox received a BA from the City College of New York and a PhD from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Prior to coming to McMaster, he was Professor of Sociology, Professor of Mathematics and Statistics, and Coordinator of the Statistical Consulting Service at York University in Toronto. Professor Fox is the author of many articles and books on applied statistics, including \emph{Applied Regression Analysis and Generalized Linear Models, Third Edition} (Sage, 2016). He is an elected member of the R Foundation, an associate editor of the Journal of Statistical Software, a prior editor of R News and its successor the R Journal, and a prior editor of the Sage Quantitative Applications in the Social Sciences monograph series.

Détails de l'édition

• Éditeur: SAGE Publications, Inc
• Date d'édition: 2000
• Langue: anglais
• ISBN 10: 0761915850
• ISBN 13: 9780761915850
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 83
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne