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Applied Regression Analysis, Linear Models, and Related Methods - 97 edition

Applied Regression Analysis, Linear Models, and Related Methods (ISBN10: 080394540X; ISBN13: 9780803945401)
ISBN13: 978-0803945401
ISBN10: 080394540X

Summary: Aimed at researchers and students who want to use linear models for data analysis, John Fox's book provides an accessible, in-depth (and better) treatment of regression analysis, linear models, and closely related methods. Fox incorporates nearly 200 graphs and numerous examples and exercises that employ real data from the social sciences. He begins the book with a concise consideration of the role of statistical data analysis in social research. He next covers graph
ical methods for examining and transforming data, linear least-squares regression, dummy-variables regression, and analysis of variance. Fox also explores 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. More difficult material is segregated in separate sections and chapters and several appendixes are also included presenting background information.

Scholars, professionals, researchers, and students in research methods, evaluation, education, sociology, and psychology will appreciate the enhanced and thorough treatment that regression analysis, linear models, and other related methods have received by author John Fox.
...show more
Summary: Aimed at researchers and students who want to use linear models for data analysis, John Fox's book provides an accessible, in-depth (and better) treatment of regression analysis, linear models, and closely related methods. Fox incorporates nearly 200 graphs and numerous examples and exercises that employ real data from the social sciences. He begins the book with a concise consideration of the role of statistical data analysis in social research. He next covers graphical methods for examining and transforming data, linear least-squares regression, dummy-variables regression, and analysis of variance. Fox also explores 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. More difficult material is segregated in separate sections and chapters and several appendixes are also included presenting background information.

Scholars, professionals, researchers, and students in research methods, evaluation, education, sociology, and psychology will appreciate the enhanced and thorough treatment that regression analysis, linear models, and other related methods have received by author John Fox.
...show less

Edition/Copyright: 97
Cover: Hardcover
Publisher: Sage Publications, Inc.
Published: 02/28/1997
International: No

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1997 Hardcover Good Item may show signs of shelf wear. Pages may include limited notes and highlighting. Includes supplemental or companion materials if applicable. Access codes may or may not work ...show more. Connecting readers since 1972. Customer service is our top priority. ...show less
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Thousand Oaks, CA 1997 Full plastic-covered decorated boards. xii, 597 pages. many black-and-white diagrams and formulae. 10.25 x 7.25 in. 2.9 lbs. Near Fine clean copy with a slight bump at one cor ...show morener, some rubbing to covers. ...show less
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