Many researchers use nonlinear regression more than any other statistical tool. Despite this popularity, there are few places to learn about nonlinear regression. Most introductory statistics books focus only on linear regression, and entirely ignore nonlinear regression. The advanced statistics books that do discuss nonlinear regression tend to be written for statisticians, exceed the mathematical sophistication of many scientists, and lack a practical discussion of biological problems. That's why GraphPad's Harvey Motulsky (together with Arthur Christopoulos) wrote Fitting Models to Data Using Linear and Nonlinear Regression. This 350-page book comes with Prism and is also available in bookstores or amazon.com(published by Oxford University Press; ISBN 0195171802). You can browse the entire book as a pdf file (free online).

Table of Contents