An Autocorrelation Term Method for Curve Fitting

The least-squares method is the most popular method for fitting a polynomial curve to data. It is based on minimizing the total squared error between a polynomial model and the data. In this paper we develop a different approach that exploits the autocorrelation function. In particular, we use the n...

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Veröffentlicht in:	ISRN applied mathematics 2013-01, Vol.2013, p.1-4
1. Verfasser:	Houston, Louis M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Autocorrelation Autocorrelation functions Curve fitting Economic models Errors Least squares method Linear equations Mathematical analysis Mathematical models Polynomials Random variables Studies
Online-Zugang:	Volltext
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