I'd restrict the curve fitting to the point where the data diverges . talk ) 23 : 56, 1 August 2012 ( UTC)
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In 1997, Data Desk was released for Windows, and included a General Linear Model ( GLM ), multivariate statistics, and nonlinear curve fitting.
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The engineering approach to analysis of highway traffic flow problems is primarily based on empirical analysis ( i . e ., observation and mathematical curve fitting ).
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Measurement Studio includes a suite of analysis functions, including curve fitting, spectral analysis, Fast fourier transforms ( FFT ) and digital filters, and visualization.
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What do you think is the best approach for curve fitting in this kind of problem ?-- Peter Kirby 07 : 49, 10 November 2006 ( UTC)
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If you don't know the equation, some type of curve fitting program would be in order . talk ) 03 : 44, 27 October 2014 ( UTC)
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Also in curve fitting, which outliers are far enough outside the norm to prune off is rather arbitrary . talk ) 16 : 07, 12 March 2015 ( UTC)
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Nonlinear curve fitting programs, such as Equilibrium Binding Data Analysis ( EBDA ) and LIGAND, are used to calculate estimates of binding parameters from saturation and competition-binding experiments.
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Curve fitting is the process of constructing a curve, or degree of uncertainty since it may reflect the method used to construct the curve as much as it reflects the observed data.
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:If using a curve fitting method that allows for variable weighting of data points, you might weight those points with wider margins of error more lightly than those with smaller margins.