A new technique for curve fitting based on minimum absolute deviations
type: Item
instance of: scholarly article
title: A new technique for curve fitting based on minimum absolute deviations
zbMATH Open document ID: 0726.62112
DOI: 10.1016/0167-9473(88)90074-6
author: S. A. Soliman
author: G. S. Christensen
author: A. H. Rouhi
published in: Computational Statistics and Data Analysis
publication date: 1988-01-01T00:00:00Z
review text: This paper presents a new technique which the authors have developed for curve fitting based on minimum absolute deviations. The developed technique is a noniterative technique which is easy and simple to apply. The computing time and the computer storage requirements are very small compared to the other available techniques, such as least squares curve fitting technique and the standard least absolute value algorithm which uses linear programming.
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62J99
Mathematics Subject Classification ID: 65D10
zbMATH DE Number: 4199354
zbMATH Keywords: optimal control
zbMATH Keywords: least squares
zbMATH Keywords: curve fitting
zbMATH Keywords: minimum absolute deviations
zbMATH Keywords: noniterative technique
MaRDI profile type: Publication
full work available at URL: 0167-9473(88)90074-6
OpenAlex ID: W2082623838
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description: scientific article; zbMATH DE number 4199354