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bootstrap
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basis of the experimental data and repeating the fit for these simulated data sets. The spread of all the best fit paramter sets generated by these fits serves as a
marquardt-levenberg
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means of optimising parameters in a least squares fit. It is used in our [[software:FluoFit]], [[software:SymPhoTime]] and a variety of other... laced by [[MLE]] fitting. When running a [[MLE]] fit the SymPhoTime software abandons the ML-fitting a
chi_square_management
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tting (for a definition see there). For a perfect fit it should be near 1. As a measure of the goodness-of-fit it is insufficient. Other methods have to be used
asymptotic_standard_errors
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tervals. For illustration let's start at the best fit parameter set, which can be regarded as a single ... c standard errors are supported by [[software:FluoFit]] and the [[software:SymPhoTime]] software. ===
least_squares
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s. The least squares measure for the goodness-of-fit is $$\chi ^2_{red}=\frac{1}{N-n_p}\sum_{i=1}^{N}
support_plane_analysis
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r space. For illustration let's start at the best fit parameter set, which can be regarded as a single
residuals
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any framework concerned with fitting, as the [[software:SymPhoTime]] software or [[software:FluoFit]].
reconvolution
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icoQuant software packages (mainly [[software:FluoFit]] and [[software:SymPhoTime]]) for compensating I