:orphan:
Comparison of Sensitivity indices
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
In this section we compare the sensitivity indices (Sobol, Cramér-von Mises and Chatterjee) available in the package using the 'Ishigami function' and the 'Additive model' to illustrate the differences.
In both the examples, we note that the Cramér-von Mises indices and the Chatterjee indices are almost equal (as the Chatterjee indices converge to the Cramér-von Mises indices in the sample limit).
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.. image:: /auto_examples/sensitivity/comparison/images/thumb/sphx_glr_ishigami_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_sensitivity_comparison_ishigami.py`
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Ishigami function
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.. image:: /auto_examples/sensitivity/comparison/images/thumb/sphx_glr_additive_thumb.png
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:ref:`sphx_glr_auto_examples_sensitivity_comparison_additive.py`
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Additive function
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.. toctree::
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/auto_examples/sensitivity/comparison/ishigami
/auto_examples/sensitivity/comparison/additive
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.. container:: sphx-glr-footer sphx-glr-footer-gallery
.. container:: sphx-glr-download sphx-glr-download-python
:download:`Download all examples in Python source code: comparison_python.zip `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download all examples in Jupyter notebooks: comparison_jupyter.zip `
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.. rst-class:: sphx-glr-signature
`Gallery generated by Sphinx-Gallery `_