Statistical analysis

To analyse the fit results when the data set is rather large, there exists an interface to OpenTurns. It can generate histograms or find the best distribution to describe a certain fit parameter of the data set.

API Reference

class impedancefitter.postprocess.PostProcess(fitresult=None, yamlfile=False)[source]

This class provides the possibility to statistically analyse the fitted data.

Parameters

  • fitresult (dict) – Result of the fit.

  • yamlfile (bool) – Provide the link to a file from which you want to read the results.

Notes

Provide either fitresult or yamlfile.

best_model_bic(parameter, distributions, showQQ=False)[source]

Test, which distribution models your data best based on the Bayesian information criterion.

Parameters

  • parameter (string) – Parameter, whose distribution is to be found.

  • distributions (list) – List with strings describing valid OpenTURNS distributions such as [‘Normal’, ‘Uniform’]

Returns

best_model_chisquared(parameter, distributions, showQQ=False)[source]

Test, which distribution models your data best based on the chisquared test.

Parameters

  • parameter (string) – Parameter, whose distribution is to be found.

  • distributions (list) – List with strings describing valid OpenTURNS distributions such as [‘Normal’, ‘Uniform’]

Returns

best_model_kolmogorov(parameter, distributions, showQQ=False)[source]

Test, which distribution models your data best based on the kolmogorov test.

Parameters

  • parameter (string) – Parameter, whose distribution is to be found.

  • distributions (list) – List with strings describing valid OpenTURNS distributions such as [‘Normal’, ‘Uniform’]

Returns

See also

openturns.FittingTest_BestModelKolmogorov()

fit_to_histogram_distribution(parameter, showQQ=False)[source]

Generate histogram from results.

Parameters

parameter (string) – Parameter, whose distribution is to be found.

Returns

Return type

openturns.Distribution

fit_to_normal_distribution(parameter, showQQ=False)[source]

Fit results for to normal distribution.

Parameters

  • parameter (string) – Parameter, whose distribution is to be found.

  • showQQ (bool, optional) – Decide if you want to check the fit visually

Returns

Return type

openturns.Distribution

plot_histograms(savefig=False, show=True)[source]

Plot histograms for all determined parameters.

Parameters

  • savefig (bool, optional) – Set to True if you want to save the figure histograms.pdf.

  • show (bool, optional) – Switch on or off if figures is shown.

Notes

Fails if values are too close to each other, i.e. the variance is very small.