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Analysis of Families of Curves

A systematic approach is presented for fitting empirical expressions to data depending on two variables. The problem can also be described as the simultaneous fitting of a family of curves depending on a parameter. The proposed method reduces a surface fitting problem to that of fitting a few functi...

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Detalles Bibliográficos
Autores principales: Mandel, John, McCrackin, Frank L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 1963
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319456/
https://www.ncbi.nlm.nih.gov/pubmed/31580586
http://dx.doi.org/10.6028/jres.067A.027
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author Mandel, John
McCrackin, Frank L.
author_facet Mandel, John
McCrackin, Frank L.
author_sort Mandel, John
collection PubMed
description A systematic approach is presented for fitting empirical expressions to data depending on two variables. The problem can also be described as the simultaneous fitting of a family of curves depending on a parameter. The proposed method reduces a surface fitting problem to that of fitting a few functions of one variable each. First, the surface is expressed in terms of these one-variable functions, and using an extension of two-way analysis of variance, the accuracy of this fit is assessed without having to determine, at this point, the nature of the one-variable functions. Then, the one-variable functions are fitted by customary curve-fitting procedures. For illustration, the method is applied to two sets of experimental data.
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spelling pubmed-53194562019-10-01 Analysis of Families of Curves Mandel, John McCrackin, Frank L. J Res Natl Bur Stand A Phys Chem Article A systematic approach is presented for fitting empirical expressions to data depending on two variables. The problem can also be described as the simultaneous fitting of a family of curves depending on a parameter. The proposed method reduces a surface fitting problem to that of fitting a few functions of one variable each. First, the surface is expressed in terms of these one-variable functions, and using an extension of two-way analysis of variance, the accuracy of this fit is assessed without having to determine, at this point, the nature of the one-variable functions. Then, the one-variable functions are fitted by customary curve-fitting procedures. For illustration, the method is applied to two sets of experimental data. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 1963 1963-06-01 /pmc/articles/PMC5319456/ /pubmed/31580586 http://dx.doi.org/10.6028/jres.067A.027 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Bureau of Standards Section A is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Article
Mandel, John
McCrackin, Frank L.
Analysis of Families of Curves
title Analysis of Families of Curves
title_full Analysis of Families of Curves
title_fullStr Analysis of Families of Curves
title_full_unstemmed Analysis of Families of Curves
title_short Analysis of Families of Curves
title_sort analysis of families of curves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319456/
https://www.ncbi.nlm.nih.gov/pubmed/31580586
http://dx.doi.org/10.6028/jres.067A.027
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