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.. _data_analysis:
Data analysis
=============
This part gives an overview of the content of the statistical toolbox that may be used to build uncertainty models according to the available data.
Comparison of two samples
-------------------------
.. toctree::
:maxdepth: 1
qqplot_graph
smirnov_test
Estimation of a nonparametric model
-----------------------------------
.. toctree::
:maxdepth: 1
empirical_cdf
kernel_smoothing
Estimation of a parametric model
--------------------------------
.. toctree::
:maxdepth: 1
maximum_likelihood
parametric_estimation
Calibration
-----------
.. toctree::
:maxdepth: 1
bayesian_calibration
code_calibration
gaussian_calibration
metropolis_hastings
Analysis of the goodness of fit of a parametric model
-----------------------------------------------------
.. toctree::
:maxdepth: 1
graphical_fitting_test
chi2_fitting_test
kolmogorov_test
cramer_vonmises_test
anderson_darling_test
aic
bic
Detection and quantification of dependencies
--------------------------------------------
.. toctree::
:maxdepth: 1
pearson_coefficient
pearson_test
spearman_coefficient
spearman_test
chi2_independence_test
tail_dependence
Regression
----------
.. toctree::
:maxdepth: 1
linear_regression
regression_analysis
Estimation of a quantile confidence interval
--------------------------------------------
.. toctree::
:maxdepth: 1
quantile_confidence_estimation
quantile_asymptotic_confidence_estimation
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