Fitting Models to Biological Data Using Linear and Nonlinear Regression
Nonlinear regression is an essential tool for analyzing biological data, and is the most frequently used tool for data analysis in many labs. This book is written for biologists, not mathematical statisticians, and presents a practical approach to fitting curves with nonlinear regression. It explains how to choose a model, how to make sensible choices when using a nonlinear regression program, and how to interpret the results. It also helps you troubleshoot qbadq fits and explains how to compare models and data sets.This book is written for biologists, not mathematical statisticians, and presents a practical approach to fitting curves with nonlinear regression.
| Title | : | Fitting Models to Biological Data Using Linear and Nonlinear Regression |
| Author | : | Harvey Motulsky, Arthur Christopoulos |
| Publisher | : | OUP USA - 2004-05-27 |
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