title: Nonlinear least-squares fitting methods.
abstract: This chapter provides an overview of the techniques involved in "fitting equations to experimental data" with a particular emphasis on the what can be learned with these techniques, what are the requirements of the experimental data for these techniques, and what are the underlying assumptions of these techniques. The layout of this chapter is to start with a set of experimental data, and then walk the reader through the analysis of this set of data. The rigorous mathematical methods are referenced but not presented in detail.
authors.affiliation: Department of Pharmacology and Internal Medicine, University of Virginia Health System, Charlottesville, Virginia 22908, USA.
authors.forename: Michael L
authors.initials: ML
authors.lastname: Johnson
mesh_terms: D016018:Least-Squares Analysis; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D011336:Probability