Introduction to Regression Modeling (with CD-ROM) (Duxbury Applied) [Hardcover]

Bovas Abraham (Author), Johannes Ledolter (Author)

Book Description

Publication Date: January 20, 2005 | ISBN-10: 0534420753 | ISBN-13: 978-0534420758 | Edition: 1

Using a data-driven approach, this book is an exciting blend of theory and interesting regression applications. Students learn the theory behind regression while actively applying it. Working with many case studies, projects, and exercises from areas such as engineering, business, social sciences, and the physical sciences, students discover the purpose of regression and learn how, when, and where regression models work. The book covers the analysis of observational data as well as of data that arise from designed experiments. Special emphasis is given to the difficulties when working with observational data, such as problems arising from multicollinearity and "messy" data situations that violate some of the usual regression assumptions. Throughout the text, students learn regression modeling by solving exercises that emphasize theoretical concepts, by analyzing real data sets, and by working on projects that require them to identify a problem of interest and collect data that are relevant to the problem's solution. The book goes beyond linear regression by covering nonlinear models, regression models with time series errors, and logistic and Poisson regression models.

Product Details

• Hardcover: 433 pages
• Publisher: Duxbury Press; 1 edition (January 20, 2005)
• Language: English
• ISBN-10: 0534420753
• ISBN-13: 978-0534420758
• Product Dimensions: 9.3 x 7.4 x 0.9 inches
• Shipping Weight: 2 pounds (View shipping rates and policies)
• Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #890,425 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

5 of 5 people found the following review helpful:

5.0 out of 5 stars Overpriced, but an excellent book: very thorough and sound., December 13, 2007

By 

Alexander C. Zorach "Alex Zorach" (Lancaster, PA) - See all my reviews
(REAL NAME)   

This review is from: Introduction to Regression Modeling (with CD-ROM) (Duxbury Applied) (Hardcover)

This is an accessible and very well-written introductory book on linear regression that goes much deeper than most books written at its level. Compared with other similar books, it is much more thoughtful and critical. This is one of the few introductory books on regression that gets people to actually think about the material and does not set up bad habits or encourage people to proceed blindly.

The prerequisites for this book are modest. It does require some math skills, particularly, ability to manipulate summation notation effectively. Some parts of the book require linear algebra. The book has a short review of linear algebra, which is not enough to teach the subject on its own, but might be useful review for someone with prior exposure. A few sections are genuinely hard (such as the implementation of nonlinear regression) and require more math skills, but these are not central to the flow of the book and can be omitted. In terms of other background, some general life experience and familiarity with the social sciences or natural sciences would be helpful in order to appreciate the motivation behind and applications of the material.

This book offers a remarkably exhaustive a coverage of the conventional topics in regression. The choice and order of topics is natural. I particularly like the way the book includes chapters on model selection and model checking, and explores these issues in depth. These are issues that are often glossed over.

Perhaps the best aspect of this book is the interplay between mathematical theory and applications. The mathematical details are expanded in rich discussion which helps the reader to develop mathematical intuition, and these details are presented in ways that enrich the discussion of applications. This is one of the few books that presents both the mathematical and practical sides of the subject well and integrates them fully. It takes skill and thought to create a book as well-executed as this one, and I think the authors deserve credit for this!

This book would make an excellent textbook for a first course in regression. It would remain a useful reference for more advanced students. People looking for a more advanced book on the same subject might want to check out the book "Statistical Models" by Freedman, or the "Regression Analysis: A Constructive Critique" by Berk.

Lastly, I must mention, the price of this book is absurd! This book should be less than half the cost. It's not that long and it has the usual cheap glued binding of a textbook. At $122, the glued binding for this book should constitute a criminal offense.

2 of 2 people found the following review helpful:

5.0 out of 5 stars My Favorite Regression Text, May 30, 2010

By 

MathNStats (USA) - See all my reviews

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This review is from: Introduction to Regression Modeling (with CD-ROM) (Duxbury Applied) (Hardcover)

Easily the best book written at this level (which I'd say is somewhere around the Master's Level).

Pros:
1. Good selection of topics. I like that the authors include a chapter on model selection, logistic/poisson regression, time series, etc...
2. This book definitely doesn't skimp on the theory. While an undergrad course may want to skip some of the details, especially without knowledge of Linear Algebra, I found it extremely helpful that everything is carefully explained and proofs to all theorems are provided.
3. Good selection of problems. I like that the problem sets include a nice mixture of applied and theoretical problems. Also, some solutions are provided, which may or may not be a good thing.

Cons:
1. No software code or explanations. It would be very helpful if authors included at least some of the commands in the text. Or even an online reference which provides the code to the book's examples would have been great.
2. Thin pages and low-quality binding. Also, this book is a little on the pricey side.

0 of 2 people found the following review helpful:

3.0 out of 5 stars [Title of Review], February 9, 2011

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Me - See all my reviews

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This review is from: Introduction to Regression Modeling (with CD-ROM) (Duxbury Applied) (Hardcover)

The book is in good condition. There are written notes and highlighted parts in it, which are annoying, but bearable. My biggest complaint is the CD-rom that came with it. It would've been helpful to know that the CD would not install any of the software packages, as it had already been used on a computer.