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fitting curve vs fitted curve

Both "fitting curve" and "fitted curve" are correct, but they are used in different contexts. "Fitting curve" refers to a curve that is being adjusted or modified to match data points, while "fitted curve" refers to a curve that has already been adjusted or modified to match data points.

Last updated: April 01, 2024 • 2175 views

fitting curve

This phrase is correct and commonly used in the context of adjusting or modifying a curve to match data points.

This phrase is used when referring to a curve that is being adjusted or modified to fit data points in a graph or chart.

Examples:

  • The fitting curve was adjusted to better match the experimental data.
  • The fitting curve accurately represents the trend in the data points.
  • Each diagram can be either represented simply in terms of points set, and either in terms of fitting curve.
  • Two kinds of fitting curve are available: polynomial curves and Pacejka's Magic Formulae; these latter are identified by solving a non linear least-squares problem that requires the use of the Matlab Optimization Toolbox.
  • Graphical methods for fitting curves can be used.
  • Attaches a tangent direction to the marked vertex for use later in curve fitting.
  • Experimental testing and curve fitting 4. Errors and statistics
  • Adds lines, arcs, or polylines to the end of an open polyline and removes the curve fitting from a curve-fit polyline.
  • Fitting of the curve to the data is commonly performed by a non-linear regression method (18).
  • Trying to apply a certain model to the plotted dependence you could use curve fitting tools (regression) offered by calculator.
  • Analytical tools to facilitate statistical calculations and curve fitting are easily available and the use of this kind of software is recommended.
  • The least squares method shall be used for the fitting of the two curves.
  • Thus, if the flight path of a specific aircraft movement is required, it is necessary to smooth the data using an appropriate curve-fitting technique.
  • These can range from application of pseudo-first order kinetics, empirical curve-fitting techniques which apply graphical or numerical solutions and more complex assessments using, for example, single- or multi-compartment models.
  • BREAK and TRIM generate a polyline with only the fit spline, which is consistent with fit curves, where the curve fitting is permanent.
  • If, however nonlinear curve fitting is difficult or fails because of too great scatter in the data, the problem may be circumvented by performing the regression on group means as a practical way of reducing the influence of suspected outliers.
  • [Close window | Graphing data and Curve Fitting in Excel | Errors in Calculations]
  • The layout is characterized by fitting perfectly between curves and straight is defined by Carlo Benelli, winner in 1970, as a "racetrack naturally attached to the mountain."
  • Deletion of stimulatory responses from the data analysis should be avoided if possible, and if available curve fitting software cannot accept minor stimulation, linear interpolation with bootstrapping can be used.
  • An adequate approach for interpreting the data is to evaluate all individual data of treated and vehicle controls, and derive from these the best fitting dose response curve, taking confidence limits into account (8)(12)(13).
  • Experimental testing and curve fitting
  • Fitting of the corresponding biophysical model to the correlation curve.

Alternatives:

  • adjusting curve
  • modifying curve
  • matching curve
  • curve fitting

fitted curve

This phrase is correct and commonly used in the context of a curve that has already been adjusted or modified to match data points.

This phrase is used when referring to a curve that has been adjusted or modified to fit data points in a graph or chart.

Examples:

  • The fitted curve accurately represents the data points.
  • After adjustments, the fitted curve closely matched the experimental data.
  • To assess the influence of data variability on the fitted curve a bootstrap procedure is recommended.
  • Plot the fitted curve and the measured data and examine whether the curve fit is appropriate.
  • Amount of error at which a fitted spline is unacceptable. If any pixel is further away than this from the fitted curve, we try again.
  • They can also be made support poles fitted curve (on request also modular curve).
  • Error Threshold: Amount of error at which a fitted spline is unacceptable. If any pixel is further away than this from the fitted curve, the algorithm tries again.

Alternatives:

  • adjusted curve
  • modified curve
  • matched curve
  • curve fitting result

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