#2376: Add p-value for regression slope in r series
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Reporter: mastho | Owner: grass-dev@…
Type: enhancement | Status: new
Priority: normal | Milestone:
Component: Raster | Version: unspecified
Keywords: r.series p-value regression | Platform: Unspecified
Cpu: Unspecified |
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The calculation of t-values has been added to r.series in r53742
(method=tvalue). It would be nice to have also the corresponding p-values
for the regression as method in r.series.
#2376: Add p-value for regression slope in r series
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Reporter: mastho | Owner: grass-dev@…
Type: enhancement | Status: new
Priority: normal | Milestone: 7.0.0
Component: Raster | Version: svn-releasebranch70
Keywords: r.series, p-value regression | Platform: Unspecified
Cpu: Unspecified |
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Comment(by mmetz):
Replying to [comment:2 pvanbosgeo]:
> You can calculate the p-value using the [python] scipy library
Considering that you want to calculate a p value for each single pixel,
the chances that you get randomly some very small p values increase with
the number of pixels. You would need to correct for that, with Bonferroni
or some method that escapes the iron claw of Bonferroni. In any case, all
your p values will most probably become not significant after any method
of correction for multiple testing.
Therefore it is more appropriate to make prior assumptions about slope,
intercept, and effect size, then judge the results according to these
prior assumptions.