Regression analysis : unified concepts, practical applications, and computer implementation / Bruce L. Bowerman, Richard T. O'Connell, and Emily S. Murphree.

By: Bowerman, Bruce L [author.]Contributor(s): O'Connell, Richard T [author.] | Murphree, Emily S [author.]Material type: TextTextSeries: 2014 digital library | Quantitative approaches to decision making collectionPublisher: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2015Edition: First editionDescription: 1 online resource (x, 265 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781606499511Subject(s): Regression analysis | logistic regression | model building | model diagnostics | multiple regression | regression model | simple linear regression | statistical inference | time series regressionGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 519.536 LOC classification: QA278.2 | .B687 2015Online resources: Click to View
Contents:
Preface -- 1. An introduction to regression analysis -- 2. Simple and multiple regression: an integrated approach -- 3. More advanced regression models -- 4. Model building and model diagnostics -- Appendix A. Statistical tables -- References -- Index.
Abstract: Concise and innovative book that gives a complete presentation of applied regression analysis in approximately one-half the space of competing books. With only the modest prerequisite of a basic (non-calculus) statistics course, this text is appropriate for the widest possible audience.
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Part of: 2014 digital library.

Includes bibliographical references (page [261]) and index.

Preface -- 1. An introduction to regression analysis -- 2. Simple and multiple regression: an integrated approach -- 3. More advanced regression models -- 4. Model building and model diagnostics -- Appendix A. Statistical tables -- References -- Index.

Access restricted to authorized users and institutions.

Concise and innovative book that gives a complete presentation of applied regression analysis in approximately one-half the space of competing books. With only the modest prerequisite of a basic (non-calculus) statistics course, this text is appropriate for the widest possible audience.

Title from PDF title page (viewed on October 13, 2014).

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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