title: A nonparametric approach to calculate critical micelle concentrations: the local polynomial regression method.
abstract: The application of a statistical method, the local polynomial regression method, (LPRM), based on a nonparametric estimation of the regression function to determine the critical micelle concentration (cmc) is presented. The method is extremely flexible because it does not impose any parametric model on the subjacent structure of the data but rather allows the data to speak for themselves. Good concordance of cmc values with those obtained by other methods was found for systems in which the variation of a measured physical property with concentration showed an abrupt change. When this variation was slow, discrepancies between the values obtained by LPRM and others methods were found.
authors.affiliation: Group of Biophysics and Interfaces, Department of Applied Physics, Faculty of Physics, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.
authors.forename: J L
authors.initials: JL
authors.lastname: López Fontán
authors.forename: J
authors.initials: J
authors.lastname: Costa
authors.forename: J M
authors.initials: JM
authors.lastname: Ruso
authors.forename: G
authors.initials: G
authors.lastname: Prieto
authors.forename: F
authors.initials: F
authors.lastname: Sarmiento
mesh_terms: D000465:Algorithms; D006358:Hot Temperature; D008823:Micelles; D015233:Models, Statistical; D008962:Models, Theoretical; D012044:Regression Analysis; D018709:Statistics, Nonparametric
chemical_list: D008823:Micelles