Multiple and Generalized Nonparametric Regression
Multiple and Generalized Nonparametric Regression
This book builds on John Fox′s previous volume in the QASS Series, Non Parametric Simple Regression. In this book, the reader learns how to estimate and plot smooth functions when there are multiple independent variables.
Author: John Fox
Publisher: Sage Publications, Inc
Published: 05/01/2000
Pages: 96
Binding Type: Paperback
Weight: 0.25lbs
Size: 8.40h x 5.34w x 0.22d
ISBN: 9780761921899
About the Author
Fox, John: -
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.