Multiple and Generalized Nonparametric Regression (Quantitative Applications in the Social Sciences): 131 - Softcover

Fox, John

Softcover

ISBN 10: 0761921893 ISBN 13: 9780761921899

Publisher: SAGE Publications, Inc, 2000

Synopsis

This book builds on John Fox's previous volume in the Q.A.S.S. Series, Non Parametric Simple Regression. In this book, the reader learns how to estimate and plot smooth functions when there are multiple independent variables.

About this title

About the Author

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.

 

Edition details

• Publisher: SAGE Publications, Inc
• Publication date: 2000
• Language: English
• ISBN 10: 0761921893
• ISBN 13: 9780761921899
• Binding: Paperback
• Edition number: 1
• Number of pages: 96