An accessible, detailed and up-to-date treatment of regression analysis, linear models and closely related methods is provided in this book. Incorporating nearly 200 graphs and numerous examples and exercises that employ real data from the social sciences, the book begins with a consideration of the role of statistical data analysis in social research. It then moves on to cover the following topics: graphical methods for examining and transforming data; linear least-squares regression; dummy-variables regression; analysis of variance; diagnostic methods for discovering whether a linear model fit to data adequately represents the data; extensions to linear least squares, including logit and probit models, time-series regression, nonlinear regression, robust regression and nonparametric regression; and empirical methods for assessing sampling variation, including the bootstrap and cross-validation.
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"I have never read a book on regression that reflects as broad and profound a grasp of the concepts of statistics as this book does. In every topic John Fox deals with—and he does not avoid the slippery ones—he shows a clarity and depth of understanding that goes beyond anything else I have seen in textbooks that matches the works of the leading researchers within each field." (Georges Monette)About the Author:
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, 1997. Condizione libro: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service!. Codice libro della libreria ABE_book_new_080394540X
Descrizione libro SAGE Publications, Inc, 1997. Hardcover. Condizione libro: New. book. Codice libro della libreria 080394540X
Descrizione libro SAGE Publications, Inc, 1997. Hardcover. Condizione libro: New. Codice libro della libreria DADAX080394540X
Descrizione libro SAGE Publications, Inc. Hardcover. Condizione libro: New. 080394540X New Condition. Codice libro della libreria NEW4.0966015
Descrizione libro SAGE Publications, Inc, 1997. Hardcover. Condizione libro: New. Codice libro della libreria P11080394540X
Descrizione libro Condizione libro: Brand New. Book Condition: Brand New. Codice libro della libreria 97808039454011.0