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Fit performance of several programs used for non‐linear least squares problems
Author(s) -
Linssen H. N.,
Hermans J.,
Bemmel P. van,
Graaf R. de
Publication year - 1975
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1975.tb00247.x
Subject(s) - least squares function approximation , minification , total least squares , non linear least squares , generalized least squares , linear regression , computer science , linear model , mathematics , curve fitting , mathematical optimization , regression , algorithm , statistics , explained sum of squares , estimator
Seven computerprograms for non‐linear regression or curve fitting problems are compared. The comparison of the programs, running in different computing centra, is restricted to the fit performance. Six model functions are fitted according to the least squares criterion to data series, arising from practical work. The special least squares minimization programs turned out to be better suited for these problems than general optimizing programs.