Examples of 'curve fitting' in a sentence
Meaning of "curve fitting"
Curve fitting is a statistical method used to find a mathematical function or equation that closely matches a set of data points. It involves adjusting the parameters of the chosen function to minimize the differences between the calculated values and the actual data points. Curve fitting is commonly used in various fields, such as regression analysis, mathematical modeling, data analysis, and forecasting
How to use "curve fitting" in a sentence
Basic
Advanced
curve fitting
Beware of optical illusions and curve fitting.
Curve fitting can be used in two distinct ways.
Five concentrations were used for curve fitting.
Typical curve fitting or regression analyses may used.
Madonna software was used for curve fitting.
Typical curve fitting algorithms may use polynomials.
The exact minimum was calculated using curve fitting.
Curve fitting and removal of systematic offset could be employed.
Constrained curve fitting on manifolds.
No normalisation was applied to the data prior to the curve fitting.
Any suitably appropriate curve fitting function may be used.
Linear curve fitting is based on two consecutive data points.
Running resistance curve fitting.
Such curve fitting functionality is often found in graphing software or spreadsheets.
Irradiance response curve fitting.
See also
Curve fitting methods are computationally simple but are easily affected by noise.
Calculations and curve fitting.
Path loss curve fitting may also be performed using a plurality of splines.
It is also done a comparison between curve fitting and curve interpolation techniques.
These minimization problems arise especially in least squares curve fitting.
This method of curve fitting approach provides the most accurate results.
A solution which guarantees a constant maximum error is to use curve fitting.
Based methods of curve fitting and extrapolation population lacking a theoretical basis.
Also a combination of numeric integration and curve fitting can be used.
Curve fitting and statistical analysis enabled the characterization of the suspended particles.
Also shown is the interpolated curve using a curve fitting process.
A curve fitting procedure can be used to predict future drifts from the drift characteristics.
Binding energies were determined from the spectra by using computer curve fitting.
Data were analyzed by single exponential curve fitting using the HiTech software.
Values in parenthesis indicate standard errors derived from the curve fitting.
It discusses the theoretical methods of statistical curve fitting and proposes a forecasting model.
Attaches a tangent direction to the marked vertex for use later in curve fitting.
The results were calculated by standard curve fitting procedure and by single point calibration procedure.
This can be done using any software package that contains a curve fitting routine.
Curve fitting and statistical properties were used to extract features from the source data.
The method according to the invention carries out a curve fitting on the data set.
The curve fitting module may then determine a curve that closely matches the evaluated data points.
The first data point was removed from the data set prior to curve fitting.
Data was analyzed with curve fitting software by Sigma plot.
These parameters were obtained by Hill equation curve fitting.
Curve fitting is appropriate because BER data is often accompanied by noise.
The RSTRIP program was used to perform the curve fitting.
Curve fitting was carried out by nonlinear regression with the computer program PHAKOK.
LibreOffice software spreadsheet was used to perform and adjust the curve fitting.
Curve fitting of data was performed using the Graph Pad prism analysis software.
Pi release data were analyzed by single exponential curve fitting using Grafit software.
Curve fitting assumed Michaelis-Menten kinetics.
The values of Rn of the shaded cell are obtained with a curve fitting procedure.
Curve fitting was used to calculate the indicated complex half-lives.
The smooth portions of a curve are then approximated with a Bézier curve fitting procedure.
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