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- bootstrap
- 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
- chi_square_management
- 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
- marquardt-levenberg
- means of optimising parameters in a least squares fit. It is used in our [[software:FluoFit]], [[softwa... laced by [[MLE]] fitting. When running a [[MLE]] fit the SymPhoTime software abandons the ML-fitting a
- asymptotic_standard_errors
- tervals. For illustration let's start at the best fit parameter set, which can be regarded as a single
- least_squares
- 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
- r space. For illustration let's start at the best fit parameter set, which can be regarded as a single