Curve fitting of mathematical functions to experimental data.

dc.creatorCustodio, R
dc.creatorDeAndrade, JC
dc.creatorAugusto, F
dc.date1997
dc.dateMAR-APR
dc.date2014-12-16T11:36:22Z
dc.date2015-11-26T16:22:17Z
dc.date2014-12-16T11:36:22Z
dc.date2015-11-26T16:22:17Z
dc.date.accessioned2018-03-28T23:03:54Z
dc.date.available2018-03-28T23:03:54Z
dc.identifierQuimica Nova. Soc Brasileira Quimica, v. 20, n. 2, n. 219, n. 225, 1997.
dc.identifier0100-4042
dc.identifierWOS:A1997WR94200016
dc.identifier10.1590/S0100-40421997000200016
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/57517
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/57517
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/57517
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1268063
dc.descriptionThe least square method is analyzed. The basic aspects of the method are discussed. Emphasis is given in procedures that allow a simple memorization of the basic equations associated with the linear and non linear least square method, polinomial regression and multilinear method.
dc.description20
dc.description2
dc.description219
dc.description225
dc.languagept
dc.publisherSoc Brasileira Quimica
dc.publisherSao Paulo
dc.publisherBrasil
dc.relationQuimica Nova
dc.relationQuim. Nova
dc.rightsaberto
dc.sourceWeb of Science
dc.subjectleast square method
dc.subjectlinear regression
dc.subjectnon linear regression
dc.subjectLeast-squares
dc.subjectRegression
dc.titleCurve fitting of mathematical functions to experimental data.
dc.typeArtículos de revistas


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