ENH: stats: Non-parametric quantile test
Romain Jacob <[email protected]>
| Newsgroups | gmane.comp.python.scientific.devel |
|---|---|
| Message-ID | <[email protected]> |
Hello everyone, I would like to propose the addition of a non-parametric test for quantiles. Essentially, it as the median analog of a one-sample t-test: just as `ttest_1samp` tests whether the population mean is a specified value and the result object has a method for computing the confidence interval of the population mean, this new function (simply named `quantile_test`) tests whether the median is a specified value and the result object has a method for computing the confidence interval of the population median. Differences are: - it works for any quantile (not just the median) - it is non-parametric. Huge thanks to Matt who did all the heavy lifting to help putting this PR in shape! If you're interested, please join the discussion at: https://github.com/scipy/scipy/pull/12680 Cheers, -- Romain Jacob Postdoctoral Researcher ETH Zurich - Networked Systems Group (NSG) www.romainjacob.net <https://www.romainjacob.net/> @RJacobPartner <https://twitter.com/RJacobPartner> Gloriastrasse 35, ETZ G81 8092 Zurich +41 7 68 16 88 22 _______________________________________________ SciPy-Dev mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3/lists/scipy-dev.python.org/ Member address: [email protected]
smime.p7s
(application/pkcs7-signature, 4.1 KB) - not displayed