The new Second Edition will extend coverage to regression models such as: generalized linear models; limited-dependent-variable-models; mixed models and Cox regression among other methods.
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"This is an excellent text on regression applications and methods, written with authority, lucidity, and eloquence."(Joseph Cavanaugh 2010-02-23)
John Fox is professor of sociology at McMaster University in Hamilton, Ontario, Canada. Fox earned a PhD in sociology from the University of Michigan in 1972, and prior to arriving at McMaster, he taught at the University of Alberta and at York University in Toronto, where he was cross-appointed in the sociology and mathematics and statistics departments and directed the university's statistical consulting service. He has delivered numerous lectures and workshops on statistical topics in North and South America, Europe, and Asia, at such places as the summer program of the Inter-University Consortium for Political and Social Research, the Oxford University Spring School in Quantitative Methods for Social Research, and the annual meetings of the American Sociological Association. Much of his recent work has been on formulating methods for visualizing complex statistical models and on developing software in the R statistical computing environment. He is the author and co-author of many articles, in such journals as Sociological Methodology, Sociological Methods and Research, The Journal of the American Statistical Association, The Journal of Statistical Software, The Journal of Computational and Graphical Statistics, Statistical Science, Social Psychology Quarterly, The Canadian Review of Sociology and Anthropology, and The Canadian Journal of Sociology. He has written a number of other books, including Regression Diagnostics (SAGE, 1991), Nonparametric Simple Regression (SAGE, 2000), Multiple and General-ized Nonparametric Regression (SAGE, 2000), A Mathematical Primer for Social Statistics (SAGE, 2008), and, with Sanford Weisberg, An R Companion to Applied Regression, Second Edition (SAGE, 2010). Fox also edits the SAGE Quantitative Applications in the Social Sciences (QASS) monograph series.
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Descrizione libro SAGE Publications, Inc, 2008. Hardcover. Condizione libro: New. 2nd. Codice libro della libreria DADAX0761930426
Descrizione libro SAGE Publications, Inc, 2008. Condizione libro: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Preface 1 - Statistical Models and Social Science I - DATA CRAFT 2 - What is Regression Analysis? 3 - Examing Data 4 - Transforming Data II - LINEAR MODELS AND LEAST SQUARES 5 - Linear Least-Squares Regression 6 - Statistical Inference for Regression 7 - Dummy-Variale Regression 8 - Analysis of Variance 9 - Statistical Theory for Lienar Models* 10 - The Vector Geometry of Linear Models* III - LINEAR-MODEL DIAGNOSTICS 11 - Unusual and Influential Data 12 - Normaility, Constant Variance, Linearity 13 - Collinearity and its Purported Remedies IV - GENERALIZED LIENAR MODELS 14 - Logit and Probit Models 15 - Generalized Linear Models V - EXTENDING LINEAR AND GENERALIZED LINEAR MODELS 16 - Time-Series Regression 17 - Nonlinear Regression 18 - Nonparametric Regression 19 - Robust Regression* 20 - Missing Data in Regression Models 21 - Bootstrapping Regression Models 22 - Model Selection, Averaging, and Validation Appendices References. Codice libro della libreria ABE_book_new_0761930426
Descrizione libro SAGE Publications, Inc, 2008. Hardcover. Condizione libro: New. Codice libro della libreria P110761930426
Descrizione libro SAGE Publications, Inc. Hardcover. Condizione libro: New. 0761930426 New! Sorry we don't offer expedited shipping on this item. -01x-. Codice libro della libreria ATEX02122016KM0533