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Fitting models to biological data using linear and nonlinear regression : a practical guide to curve fitting / by Harvey Motulsky, Arthur Christopoulos.

By: Contributor(s): Material type: TextTextSeries: OUP E-BooksPublication details: Oxford ; New York : Oxford University Press, 2004.Description: 1 online resource (351 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780198038344
  • 0198038348
  • 9786610843770
  • 6610843775
Subject(s): Genre/Form: Additional physical formats: Print version:: Fitting models to biological data using linear and nonlinear regression.DDC classification:
  • 570/.1/5118 22
LOC classification:
  • QH323.5 .M68 2003eb
Other classification:
  • WC 7000
  • BIO 110f
  • MAT 628f
Online resources:
Contents:
Contents; Preface; A. Fitting data with nonlinear regression; B. Fitting data with linear regression; C. Models; D. How nonlinear regression works; E. Confidence intervals of the parameters; F. Comparing models; G. How does a treatment change the curve?; H. Fitting radioligand and enzyme kinetics data; I. Fitting dose-response curves; J. Fitting curves with GraphPad Prism; Annotated bibliography; Index.
Summary: Fitting data with nonlinear regression. 1. An example of nonlinear regression. 2. Preparing data for nonlinear regression. 3. Nonlinear regression choices. 4. The first five questions to ask about nonlinear regression results. 5. The results of nonlinear regression. 6. Troubleshooting "bad fits". Fitting data with linear regression. 7. Choosing linear regression. 8. Interpreting the results of linear regression. Models. 9. Introducing models. 10. Tips on choosing a model. 11. Global models. 12. Compartmental models and defining a model with a differential equation. How nonlinear regr.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Mathematics Available
Total holds: 0

Includes bibliographical references and index.

Contents; Preface; A. Fitting data with nonlinear regression; B. Fitting data with linear regression; C. Models; D. How nonlinear regression works; E. Confidence intervals of the parameters; F. Comparing models; G. How does a treatment change the curve?; H. Fitting radioligand and enzyme kinetics data; I. Fitting dose-response curves; J. Fitting curves with GraphPad Prism; Annotated bibliography; Index.

Fitting data with nonlinear regression. 1. An example of nonlinear regression. 2. Preparing data for nonlinear regression. 3. Nonlinear regression choices. 4. The first five questions to ask about nonlinear regression results. 5. The results of nonlinear regression. 6. Troubleshooting "bad fits". Fitting data with linear regression. 7. Choosing linear regression. 8. Interpreting the results of linear regression. Models. 9. Introducing models. 10. Tips on choosing a model. 11. Global models. 12. Compartmental models and defining a model with a differential equation. How nonlinear regr.

Print version record.

WorldCat record variable field(s) change: 650

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