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documentation: definition of significance seems to be wrong

Open fookatchu opened this issue 5 years ago • 4 comments

The definition of "significance" seems to be wrong. According to the docs:

“s” or “significance”: the sensitivity coefficient (below) multiplied by the standard uncertainty, displayed by default

The significance is in fact calculated as x.u / result.u (or v[0]/yu in budget.py)

If I am not mistaken, the correct text should therefore be:

“s” or “significance”: the sensitivity coefficient (below) multiplied by the standard uncertainty divided by the combined standard uncertainty, displayed by default

fookatchu avatar Nov 27 '20 14:11 fookatchu

This also raises the question on how to retreive the uncertainty contribution sensitivity coefficient * standard uncertainty. Maybe I am just overlooking something?

fookatchu avatar Nov 27 '20 14:11 fookatchu

You are correct, the significance is sensitivity coefficient * standard uncertainty/combined uncertainty.

I will add a column for sensitivity coefficient * standard uncertainty

hvparks avatar Jul 05 '21 21:07 hvparks

The documentation has been fixed, though I still need to add the column for sensitivity coefficient * standard uncertainty.

hvparks avatar Jul 11 '21 02:07 hvparks

The documentation is still wrong here. Moreover, wouldn't it make more sense to define s as (sensitivity coefficient * standard uncertainty/combined uncertainty)**2 so they all add up to one?

Naikless avatar Sep 14 '22 14:09 Naikless