What has that got to do with curve fitting.

This may be achieved by curve fitting or regression analysis.

Curve fitting can be used in two distinct ways.

When only a single design variable is involved, the process is known as curve fitting.

"It is far superior to any curve fitting or splining program we have ever seen".

Automated curve fitting, printing and data storage facilities are included.

Curve fitting and removal of systematic offset could be employed.

This method is sometimes called line-fitting or curve fitting depending on the result.

These minimization problems arise especially in least squares curve fitting.

Curve fitting is constructing a mathematical function which best fits a set of data points.

A solution which guarantees a constant maximum error is to use curve fitting.

Binding energies were determined from the spectra by using computer curve fitting.

MagicPlot is a technical plotting, curve fitting and data analysis application.

A knowledge of shape function is needed for spectroscopic curve fitting and deconvolution.

This provided a different set of evenly spaced quantiles for each curve fitting.

Taylor series and curve fitting can be used to approximate polynomials or other functions.

Introduction to statistics: mean, mode, standard deviation and least squares curve fitting.

Optimization must be performed carefully to avoid curve fitting.

Data analyses in Origin include statistics, signal processing, curve fitting and peak analysis.

That's a lot of trouble; can't I just use running data and extract a model by correlations and curve fitting?

Curve fitting is used to determine the attenuation.

Download the Word document, Curve Fitting to get the full story and analysis.

Curve fitting, the method of least squares, correlation.

Curve fitting will adjust any number of parameters of the function to obtain the 'best' fit.

In more conventional modeling through explicitly given mathematical functions, parameters are determined by curve fitting.