Amazon.com: Nonlinear Regression Analysis and Its Applications (Wiley Series in Probability and Statistics) (9780471816430): Douglas M. Bates, Donald G. Watts: Books

Sell Back Your Copy
For a $2.44 Gift Card
Trade in
Have one to sell? Sell yours here
Nonlinear Regression Analysis and Its Applications (Wiley Series in Probability and Statistics)
 
 
Tell the Publisher!
I'd like to read this book on Kindle

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Nonlinear Regression Analysis and Its Applications (Wiley Series in Probability and Statistics) [Hardcover]

Douglas M. Bates (Author), Donald G. Watts (Author)
3.7 out of 5 stars  See all reviews (3 customer reviews)


Available from these sellers.


Textbook Student FREE Two-Day Shipping for students on millions of items. Learn more

Formats

Amazon Price New from Used from
Hardcover --  
Paperback $92.74  

Book Description

August 1988 0471816434 978-0471816430 1
Wiley-Interscience Paperback Series

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

"The authors have put together an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models . . . highly recommend[ed] . . . for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models."
—Technometrics

"[This book] provides a good balance of relevant theory and application with many examples . . . [and it] provides the most balanced approach to theory and application appropriate for a first course in nonlinear regression modeling for graduate statistics students."
—Mathematical Reviews

"[This book] joins a distinguished list of publications with a reputation for balancing technical rigor with readability, and theory with application. [It] upholds tradition . . . [and is] a worthwhile reference for the marketing researcher with a serious interest in linear models."
—Journal of Marketing Research

This book offers a balanced presentation of the theoretical, practical, and computational aspects of nonlinear regression and provides background material on linear regression, including the geometrical development for linear and nonlinear least squares. The authors employ real data sets throughout, and their extensive use of geometric constructs and continuing examples makes the progression of ideas appear very natural. The book also includes pseudocode for computing algorithms.



Editorial Reviews

From the Publisher

A balanced presentation of the theoretical, practical, and computational aspects of nonlinear regression. Provides background material on linear regression, including a geometrical development for linear and nonlinear least squares. The authors employ real data sets throughout, and their extensive use of geometric constructs and continuing examples makes the progression of ideas appear very natural. Includes pseudocode for computing algorithms.

From the Back Cover

Wiley-Interscience Paperback Series

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

"The authors have put together an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models . . . highly recommend[ed] . . . for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models."
—Technometrics

"[This book] provides a good balance of relevant theory and application with many examples . . . [and it] provides the most balanced approach to theory and application appropriate for a first course in nonlinear regression modeling for graduate statistics students."
—Mathematical Reviews

"[This book] joins a distinguished list of publications with a reputation for balancing technical rigor with readability, and theory with application. [It] upholds tradition . . . [and is] a worthwhile reference for the marketing researcher with a serious interest in linear models."
—Journal of Marketing Research

This book offers a balanced presentation of the theoretical, practical, and computational aspects of nonlinear regression and provides background material on linear regression, including the geometrical development for linear and nonlinear least squares. The authors employ real data sets throughout, and their extensive use of geometric constructs and continuing examples makes the progression of ideas appear very natural. The book also includes pseudocode for computing algorithms. --This text refers to the Paperback edition.


Product Details

  • Hardcover: 384 pages
  • Publisher: Wiley; 1 edition (August 1988)
  • Language: English
  • ISBN-10: 0471816434
  • ISBN-13: 978-0471816430
  • Product Dimensions: 9.3 x 6.2 x 0.9 inches
  • Shipping Weight: 1.3 pounds
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #635,913 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, read author blogs, and more.

 

Customer Reviews

3 Reviews
5 star:
 (2)
4 star:    (0)
3 star:    (0)
2 star:    (0)
1 star:
 (1)
 
 
 
 
 
Average Customer Review
3.7 out of 5 stars (3 customer reviews)
 
 
 
 
Share your thoughts with other customers:
Most Helpful Customer Reviews

23 of 23 people found the following review helpful:
5.0 out of 5 stars one of the best books on nonlinear models, January 24, 2008
This review is from: Nonlinear Regression Analysis and Its Applications (Wiley Series in Probability and Statistics) (Hardcover)
Along with Gallant's book on nonlinear regression this book is one of the best. It is on an intermediate level and assumes some knowledge of linear regression. Notable unique aspects of the book are (1) good use of geometry, (2) discussion of derivative free methods, (3) use of profile likelihood and profile t plots and (4) measures of degree of nonlinearity of the problem. The authors also provide many real world applications directly from their consulting experience.

These authors were among the researchers that developed these measures of nonlinearity and so that aspect of the book is original and is emphasized in this book more than in others such as Gallant's.
Help other customers find the most helpful reviews 
Was this review helpful to you? Yes No


7 of 8 people found the following review helpful:
5.0 out of 5 stars Great book about a complex subject., October 1, 2006
By 
John Student (Seattle, WA United States) - See all my reviews
Amazon Verified Purchase(What's this?)
This review is from: Nonlinear Regression Analysis and Its Applications (Wiley Series in Probability and Statistics) (Hardcover)
I am a non-statistics graduate student, but I needed to learn this material for my thesis project. Nonlinear regression is definitely an advanced topic, but with only one class in matrix algebra and a year of calculus, I was able to understand and follow along. Many sections I had to re-read a few times, but they do make sense. I don't expect that this topic could be any more simply put at this level of detail. Bonus: Bates is an author of the nls function in R. All the terminology in this book matches the terminolgy in the function parameters.
Help other customers find the most helpful reviews 
Was this review helpful to you? Yes No


7 of 17 people found the following review helpful:
1.0 out of 5 stars watch out, October 2, 2003
By A Customer
This review is from: Nonlinear Regression Analysis and Its Applications (Wiley Series in Probability and Statistics) (Hardcover)
If you are looking for some general guidelines into non-linear regression this is NOT for you. This is way over basic if not over intermediate bordering on super advanced non-linear regression discussion. The beginner and fairly knowledgeable person that is looking for some basic insight into non-linear work should stay away from this. A long way from this!
Help other customers find the most helpful reviews 
Was this review helpful to you? Yes No

Share your thoughts with other customers: Create your own review
 
 
 
Only search this product's reviews



Inside This Book (learn more)
First Sentence:
We begin with a brief review of linear regression, because a thorough grounding in linear regression is fundamental to understanding nonlinear regression. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
puromycin data, conditionally linear parameters, expectation plane, inference band, parameter effects nonlinearity, approximate inference regions, parameter inference regions, profile trace plots, expectation surface, multiresponse models, multiresponse estimation, centered data matrix, multiresponse data, approximate correlation matrix, conditional linearity, nitrite utilization, incremental parameters, nonlinear estimation routine, isomerization data, curvature array, inference intervals, shale data, precise parameter estimation, profile traces, nth face
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Example Puromycin, Example Isomerization, Value Extra, Error Correlation, Degrees of Freedom Mean Square, Source Sum of Squares, Error Approximate Correlation Matrix, Logarithm Scale Std, Parameter Estimate Approx, Ratio Correlation Matrix, Ratio Matrix
New!
Books on Related Topics | Concordance | Text Stats
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Search Inside This Book:

Citations (learn more)
This book cites 100 books:
See all 100 books this book cites
 
100 books cite this book:
See all 100 books citing this book




Tags Customers Associate with This Product

 (What's this?)
Click on a tag to find related items, discussions, and people.
 

Your tags: Add your first tag
 

Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 


Active discussions in related forums
Search Customer Discussions
Search all Amazon discussions
   
Related forums



So You'd Like to...


Create a guide


Look for Similar Items by Category


Look for Similar Items by Subject