Student Solutions Manual (Introduction to Linear Regression Analysis) - Softcover

Montgomery, Douglas C.; Peck, Elizabeth A.; Vining, Geoffrey G.

Softcover

ISBN 10: 0471413763 ISBN 13: 9780471413769

Verlag: John Wiley & Sons Inc, 2001

Inhaltsangabe

A comprehensive and thoroughly up-to-date look at regression ysis-still the most widely used technique in statistics today As basic to statistics as the Pythagorean theorem is to geometry, regression ysis is a statistical technique for investigating and modeling the relationship between variables. With far-reaching applications in almost every field, regression ysis is used in engineering, the physical and chemical sciences, economics, management, life and biological sciences, and the social sciences. Clearly balancing theory with applications, Introduction to Linear Regression ysis describes conventional uses of the technique, as well as less common ones, placing linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression ytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. Succeeding chapters include detailed coverage of: Indicator variables, making the connection between regression and ysis-of-variance modelss Variable selection and model-building techniques The multicollinearity problem, including its sources, harmful effects, diagnostics, and remedial measures Robust regression techniques, including M-estimators, Least Median of Squares, and S-estimation Generalized linear models The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation.

Details zur Ausgabe

• Verlag: John Wiley & Sons Inc
• Erscheinungsdatum: 2001
• Sprache: Englisch
• ISBN 10: 0471413763
• ISBN 13: 9780471413769
• Einband: Taschenbuch
• Auflage: 3
• Anzahl der Seiten: 140
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar