On Wed, Jul 27, 2016 at 8:23 AM, Schultz, Martin <m.schultz@fz-juelich.de> wrote:
Dear all,
discussion has apparently ceased on this topic. As I don’t see myself in a position to open the pull request for this and lead the implementation (I am too unexperienced with GitHub and don’t have the time to learn all the rules necessary to create a good scipy code), I am asking if someone would volunteer to take the lead. I will help where I can, but you don’t want me to be responsible for this.
You could also write test cases with and without ties and whatever options are used for this function. This would simplify the work for whoever is implementing this. Those could just be added to a scipy issue. I was thinking whether it's possible to just use the ranks `rankdata` to simplify the calculations and remove some of the loops, but didn't figure out whether that works. (I'm busy with "models" and didn't plan to go back to "stats" until fall.) Josef
Thanks,
Martin
From: SciPy-Dev [mailto:scipy-dev-bounces@scipy.org] On Behalf Of Paul Hobson Sent: Wednesday, July 20, 2016 3:24 AM To: SciPy Developers List Subject: Re: [SciPy-Dev] Suggest addition to scipy.stats : Mann-Kendall test
On Tue, Jul 19, 2016 at 1:04 AM, <josef.pktd@gmail.com> wrote:
The function looks interesting, I've never heard of this hypothesis test.
EPA guidance specifies that the Mann-Kendall test be used to determine if there's a trend (seasonal, or long-term) in pollutant concentrations.
Even though regulators sometimes *require* that you use their ProUCL[0] software, this would be still be a very welcome addition to the stats module for environmental engineers like me.
Martin: if you get the pull request started, I'll help your write the tests. Just @-mention me in the PR's discussion (@phobson).
-Paul
[0] https://www.epa.gov/land-research/proucl-software
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