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pubmed-article:17964949pubmed:dateCreated2007-10-29lld:pubmed
pubmed-article:17964949pubmed:abstractTextThis 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.lld:pubmed
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pubmed-article:17964949pubmed:authorpubmed-author:JohnsonMichae...lld:pubmed
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pubmed-article:17964949pubmed:volume84lld:pubmed
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pubmed-article:17964949pubmed:pagination781-805lld:pubmed
pubmed-article:17964949pubmed:dateRevised2011-9-22lld:pubmed
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pubmed-article:17964949pubmed:year2008lld:pubmed
pubmed-article:17964949pubmed:articleTitleNonlinear least-squares fitting methods.lld:pubmed
pubmed-article:17964949pubmed:affiliationDepartment of Pharmacology and Internal Medicine, University of Virginia Health System, Charlottesville, Virginia 22908, USA.lld:pubmed
pubmed-article:17964949pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:17964949pubmed:publicationTypeResearch Support, N.I.H., Extramurallld:pubmed