Applied Regression Modeling

Nonfiction, Science & Nature, Mathematics, Probability, Business & Finance, Economics, Econometrics, Statistics
Cover of the book Applied Regression Modeling by Iain Pardoe, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Iain Pardoe ISBN: 9781118345047
Publisher: Wiley Publication: January 7, 2013
Imprint: Wiley Language: English
Author: Iain Pardoe
ISBN: 9781118345047
Publisher: Wiley
Publication: January 7, 2013
Imprint: Wiley
Language: English

Praise for the First Edition

"The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful." —The American Statistician

Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications.

The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling.

In addition, the Second Edition features clarification and expansion of challenging topics, such as:

  • Transformations, indicator variables, and interaction
  • Testing model assumptions
  • Nonconstant variance
  • Autocorrelation
  • Variable selection methods
  • Model building and graphical interpretation

Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos.

With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Praise for the First Edition

"The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful." —The American Statistician

Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications.

The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling.

In addition, the Second Edition features clarification and expansion of challenging topics, such as:

Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos.

With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work.

More books from Wiley

Cover of the book This Is Philosophy by Iain Pardoe
Cover of the book Comparative Religious Ethics by Iain Pardoe
Cover of the book The Official ACT Prep Guide 2019-2020, (Book + 5 Practice Tests + Bonus Online Content) by Iain Pardoe
Cover of the book Nursing Law and Ethics by Iain Pardoe
Cover of the book The Relationship Inventory by Iain Pardoe
Cover of the book Coaching Lacrosse For Dummies by Iain Pardoe
Cover of the book Comparing Clinical Measurement Methods by Iain Pardoe
Cover of the book Clinician's Guide to Posttraumatic Stress Disorder by Iain Pardoe
Cover of the book Aquaculture by Iain Pardoe
Cover of the book Transdisciplinary Public Health by Iain Pardoe
Cover of the book Functional Polymer Films, 2 Volume Set by Iain Pardoe
Cover of the book Owning Up by Iain Pardoe
Cover of the book Modern Antenna Handbook by Iain Pardoe
Cover of the book Aerospace Actuators V3 by Iain Pardoe
Cover of the book An Anthropology of Biomedicine by Iain Pardoe
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy