Nonlinear Regression with R / Edition 1

Paperback (Print)
Buy New
Buy New from
Used and New from Other Sellers
Used and New from Other Sellers
from $47.74
Usually ships in 1-2 business days
(Save 40%)
Other sellers (Paperback)
  • All (13) from $47.74   
  • New (9) from $47.71   
  • Used (4) from $63.95   


* Is unique because it approaches non-linear regression modeling through the functionality available in R, such that the analysis in many respects is carried out using the same commands and functions as would be used to analyze linear or generalized linear or other models in R R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the R environment. This book provides a coherent and unified treatment of nonlinear regression with R by means of examples from a diversity of applied sciences such as biology, chemistry, engineering, medicine and toxicology. The book begins with an introduction on how to fit nonlinear regression models in R. Subsequent chapters explain in more depth the salient features of the fitting function nls(), the use of model diagnostics, the remedies for various model departures, and how to do hypothesis testing. In the final chapter grouped-data structures, including an example of a nonlinear mixed-effects regression model, are considered. Christian Ritz has a PhD in biostatistics from the Royal Veterinary and Agricultural University. For the last 5 years he has been working extensively with various applications of nonlinear regression in the life sciences and related disciplines, authoring several R packages and papers on this topic. He is currently doing postdoctoral research at the University of Copenhagen. Jens C. Streibig is a professor in Weed Science at the University of Copenhagen. He has for more than 25 years worked on selectivity of herbicides and more recently on the ecotoxicology of pesticides and has extensive experience in applying nonlinear regression models. Together with the first author he has developed short courses on the subject of this book for students in the li

Read More Show Less

Editorial Reviews

From the Publisher

From the reviews:

"The Use R! series published by Springer is a wonderful thing. There is nothing else like it, and as far as I know there has never been anything like it, certainly not for open source software…. This book by Ritz and Streibig is a fine example. It documents, explains, and illustrates in considerable detail the venerable nls() function, available both in S and R, … a mini-course in nonlinear regression…. Books of this form are ideal for self-study,…. My guess is that about 95% of the experimenters or researchers using this book will think that the material is quite sufficient for their needs, and will not be interested in further theoretical studying. That, I think, is actually one of its greatest strengths. … In summary I think the book is excellent, and eminently useful. I hope it will serve as a model for documenting more of the larger R functions and packages." (Jan de Leeuw, Journal of Statistical Software, 2009).

"Readership: Under- and post-graduate students of statistics and of applied disciplines in biology, chemistry, engineering, fisheries science, medicine and toxicology. … The scope and topic of this book are in the title and the authors take as their starting point the function nls() and subsequently, related functions in R. … I strongly recommend this book – if you are a young scientist … then this book will save you hours of wasted exploration and investigation to find the allusive solution to your nonlinear estimation problem." (C. M. O’Brien, International Statistical Review, Vol. 77 (3), 2009)

“…A brief and focused book in Springer’s ‘Use R!’ series. …The information about nonlinear regression methodology and advice on how to use it is accurate and useful; the examples are novel and effective … and the authors provide enough information for practitioners who have little experience with nonlinear regression to begin to fit simple nonlinear models and draw inferences from them. … Useful as a secondary text for an applied course on non-linear regression, providing students a tutorial on implementation in R and even some exercises that could be used in such a course or for self-study. I congratulate Ritz and Steibig on a informative and well-written little book. ” (The American Statistician, February 2010, Vol. 64 No.1)

“The preface of this book clearly spells out its intended purpose: it is a how-to book on the use of the nls function in R, rather than a textbook on nonlinear regression. As such, it is intended as a reference for readers with some past experience with R and a reasonable working knowledge of linear regression, or as a supplementary text for a course on nonlinear regression. It serves both purposes pretty well and I judge it to be a handy little book… .” (Biometrics, Summer 2009, 65, 1001)

Read More Show Less

Product Details

  • ISBN-13: 9780387096155
  • Publisher: Springer New York
  • Publication date: 11/21/2008
  • Series: Use R! Series
  • Edition description: 2008
  • Edition number: 1
  • Pages: 148
  • Product dimensions: 5.90 (w) x 9.10 (h) x 0.40 (d)

Table of Contents

Introduction. - Getting started. - Starting values and self starters. - More on nls (). - Model diagnostics. - Remedies for model variations. - Uncertainty, hypothesis testing and model selection. - Grouped data. - Appendix A: Datasets and models. - Appendix B: Self starter functions. - Appendix C: Packages and functions. - References. - Index.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)