Regression analysis unified concepts, practical applications, and computer implementation
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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| Main Authors | , , |
|---|---|
| Format | eBook |
| Language | English |
| Published |
New York, New York (222 East 46th Street, New York, NY 10017)
Business Expert Press
2015
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| Edition | First edition. |
| Series | Quantitative approaches to decision making collection |
| Subjects | |
| Online Access | Get full text |
| ISBN | 1606499505 9781606499504 1606499580 9781606499580 |
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| 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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| AbstractList | 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. 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. |
| Author | O'Connell, Richard T Murphree, Emily S Bowerman, Bruce L |
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| Notes | Also available in print. System requirements: Adobe Acrobat reader. Mode of access: World Wide Web. Part of: 2014 digital library. Access restricted to authorized users and institutions. |
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| Snippet | Concise and innovative book that gives a complete presentation of applied regression analysis in approximately one-half the space of competing books. With only... Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation is a concise and innovative book that gives a complete presentation of... |
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| SubjectTerms | logistic regression model building model diagnostics multiple regression Regression analysis regression model simple linear regression statistical inference time series regression |
| SubjectTermsDisplay | logistic regression model building model diagnostics multiple regression Regression analysis. regression model simple linear regression statistical inference time series regression |
| Subtitle | unified concepts, practical applications, and computer implementation |
| TableOfContents | 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. Cover -- Contents -- Chapter 1: An Introduction to Regression Analysis -- Chapter 2: Simple and Multiple Regression: An Integrated Approach -- Chapter 3: More Advanced Regression Models -- Chapter 4: Model Building and Model Diagnostics -- Appendix A: Statistical Tables -- References -- Index -- Ad Page -- Cover |
| Title | Regression analysis |
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