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re: Question for Statistics Gurus
Posted on 7/13/14 at 7:34 pm to Volvagia
Posted on 7/13/14 at 7:34 pm to Volvagia
Anything outside the cl are outliers, traditionally.
Looks like you have residuals plotted here. You can do an upper and lower bound for that but for your circumstance, I'd just do cl on the raw data.
Looks like you have residuals plotted here. You can do an upper and lower bound for that but for your circumstance, I'd just do cl on the raw data.
This post was edited on 7/13/14 at 7:35 pm
2
Posted on 7/13/14 at 7:38 pm to Winkface
quote:
Anything outside the cl are outliers, traditionally.
Looks like you have residuals plotted here. You can do an upper and lower bound for that but for your circumstance,
right if you are looking for outliers I wouldn't use just regular residuals.
In regression it is better to use the r-studentized residuals to check for outliers, usually anything >=2.5 are considered outliers.
But you only want to remove data that is both an outlier and influential.
Posted on 7/13/14 at 7:47 pm to Winkface
quote:
Anything outside the cl are outliers, traditionally.
Unfortunately the underlying chemistry here is such that you can expect to see SOME outliers due to unknown factors mucking up the univariate calibration.
Part of the expertise of doing this is separating the "valid" outliers to the ones that should be excluded from the model calibration. The ones that remain are not separate enough from the rest of the group to legitimately exclude them, regardless of confidence interval.
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