Regression Diagnostics by John Fox

Regression Diagnostics by John Fox

Considers the techniques needed for exploring problems that compromise a regression analysis and for determining whether certain assumptions appear reasonable. The text covers such topics as the problem of collinearity in multiple regression, non-normality of errors and non-constant error variance.

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.

SKU	Unavailable
ISBN 13	9780803939714
ISBN 10	080393971X
Title	Regression Diagnostics
Author	John Fox
Series	Quantitative Applications In The Social Sciences
Condition	Unavailable
Binding Type	Paperback
Publisher	SAGE Publications Inc
Year published	1991-10-08
Number of pages	96
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.