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Suitberto Cabrera ; Luis Manuel Vega ; Asela Cabrera ; Nersa Acosta ;Revista Colombiana de Estadística 2014, 37 1

Author: Rogelio Acosta

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Revista Colombiana de Estadística ISSN: 0120-1751 revcoles_fcbog@unal.edu.co Universidad Nacional de Colombia Colombia Acosta, Rogelio; Cabrera, Suitberto; Vega, Luis Manuel; Cabrera, Asela; Acosta, Nersa An Iterative Method for Curve Adjustment Based on Optimization of a Variable and its Application Revista Colombiana de Estadística, vol.
37, núm.
1, junio, 2014, pp.
111-125 Universidad Nacional de Colombia Bogotá, Colombia Available in: http:--www.redalyc.org-articulo.oa?id=89931327008 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Revista Colombiana de Estadística Junio 2014, volumen 37, no.
1, pp.
111 a 125 An Iterative Method for Curve Adjustment Based on Optimization of a Variable and its Application Un método iterativo para el ajuste de curvas basado en la optimización en una variable y su aplicación al caso lineal en una variable independiente Rogelio Acosta1,a , Suitberto Cabrera2,b , Luis Manuel Vega1,c , Asela Cabrera2,d , Nersa Acosta3,e 1 Departamento de Matemática, Universidad de Las Tunas, Las Tunas, Cuba 2 Departamento de Estadística, Investigación Operativa Aplicadas y Calidad, Universitat Politecnica de Valencia, Valencia, Spain 3 Universidad de las Ciencias Informáticas, La Habana, Cuba Abstract An iterative method for the adjustment of curves is obtained by applying the least squares method reiteratively in functional subclasses, each defined by one parameter, after assigning values to the rest of the parameters which determine a previously determined general functional class.
To find the minimum of the sum of the squared deviations, in each subclass, only techniques of optimization are used for real functions of a real variable.The value of the parameter which gives the best approximation...





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