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bootstrap
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estimation of the freely varying parameters of a fit. It is an error estimation model of the [['Monte ... 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 products (onli... laced by [[MLE]] fitting. When running a [[MLE]] fit the SymPhoTime software abandons the ML-fitting a
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. ===
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
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}
reconvolution
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icoQuant software packages (mainly [[software:FluoFit]] and [[software:SymPhoTime]]) for compensating I
residuals
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any framework concerned with fitting, as the [[software:SymPhoTime]] software or [[software:FluoFit]].
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