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bootstrap

3 Hits, Last modified: 13 years ago

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

2 Hits, Last modified: 13 years ago

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

2 Hits, Last modified: 12 years ago

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

least_squares

1 Hits, Last modified: 13 years ago

s. The least squares measure for the goodness-of-fit is $$\chi ^2_{red}=\frac{1}{N-n_p}\sum_{i=1}^{N}

asymptotic_standard_errors

1 Hits, Last modified: 12 years ago

tervals. For illustration let's start at the best fit parameter set, which can be regarded as a single

support_plane_analysis

1 Hits, Last modified: 13 years ago

r space. For illustration let's start at the best fit parameter set, which can be regarded as a single