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

By: Contributor(s): 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 resource
ISBN:
  • 9781606499511
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 519.536 23
LOC classification:
  • QA278.2 .B687 2015
Online resources:
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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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Ebrary Online Books Ebrary Online Books Colombo Available CBEBK20001874
Ebrary Online Books Ebrary Online Books Jaffna Available JFEBK20001874
Ebrary Online Books Ebrary Online Books Kandy Available KDEBK20001874
Total holds: 0

Enhanced descriptions from Syndetics:

Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation is a 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 including college juniors, seniors and first-year graduate students in business and statistics, as well as professionals in business and industry. The book is able to accommodate this wide audience because of the unique, integrative approach that is taken to the teaching of regression analysis. Whereas other regression books cover regression in four chapters, beginning with a statistical review, followed by chapters on simple linear regression, matrix algebra and multiple regression, this book introduces regression and covers both simple linear regression and multiple regression in single cohesive chapter. This is made possible through an efficient, integrative discussion of the two techniques. Additionally, in the same chapter (Chapter Two) basic statistical and matrix algebra concepts are introduced as needed In order to facilitate instruction. This approach avoids the needless repetition that is often found in longer treatments of the subject, while serving to bring a collective focus to students of widely varying mathematical backgrounds.

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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