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sr #3045: Support for pooled standard deviation for: Peak heights with partially replicated spectra

Submitted by:  Troels E. Linnet <tlinnet>
Submitted on:  Wed 19 Jun 2013 12:50:08 PM UTC  
Category: NonePriority: 5 - Normal
Severity: 3 - NormalStatus: Invalid
Assigned to: NoneOpen/Closed: Closed
Operating System: None

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Tue 10 Sep 2013 06:45:17 AM UTC, comment #2:

As mentioned in the thread, for the case of replicated spectra the pooled standard deviation is identical to the standard deviation with variance averaging, as all peaks are replicated to the same extent. Therefore closing this sr as invalid.

Edward d Auvergne <bugman>
Project Administrator
Fri 02 Aug 2013 08:35:22 AM UTC, comment #1:

Follow discussion here:

Troels E. Linnet <tlinnet>
Project Member
Wed 19 Jun 2013 12:50:08 PM UTC, original submission:

According to the manual,,
the variance for the replicated datasets are averaged, and used as the variance for single replicated spectrum.

This is a very reasonable assumption, but I wonder if a pooled standard deviation should be used instead.

If we look in the definition of IUPAC Gold Book:

Results from various series of measurements can be combined in the following way to give a pooled relative standard deviation $s_{r,p}$:

s_{r,p}=\sqrt{\frac{\sum(n_i-1)s_{r,i}^2}{\sum n_i -1}} = \sqrt{\frac{\sum(n_i-1)s_i^2x_i^{-2}}{\sum n_i -1}}

It is not an easy subject, and the discussion can be "hot": See for example these gals and gils:

So my question is, is the use of average of variances the right way to estimate the variance for single recorded data point?
And should another way be implemented?

Troels E. Linnet <tlinnet>
Project Member


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    Date Changed By Updated Field Previous Value => Replaced By
    Tue 10 Sep 2013 06:45:17 AM UTCbugmanStatusNone=>Invalid
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