Fitting Models to Biological Data Using Linear and Nonlinear Regression

Fitting Models to Biological Data Using Linear and Nonlinear Regression

4.11 - 1251 ratings - Source



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
ISBN-13:

You must register with us as either a Registered User before you can Download this Book. You'll be greeted by a simple sign-up page.

Once you have finished the sign-up process, you will be redirected to your download Book page.

How it works:
  • 1. Register a free 1 month Trial Account.
  • 2. Download as many books as you like (Personal use)
  • 3. Cancel the membership at any time if not satisfied.


Click button below to register and download Ebook
Privacy Policy | Contact | DMCA