Greetings,
I work in an industry -- insurance -- where much of the data does not
follow a Gaussian distribution. For instance, researchers often estimate
models of insurance settlement payments using GLMs under the assumption
that the errors obey a gamma distribution. As a general question, I'm
curious if the familiar methods of identifying outliers, such as the two
standard deviation rule, are applicable to such data. I presume in
general that they are not, but I'm curious to hear any suggestions that
AllStat participants might be willing to share.
Thank you.
Best regards,
Mark
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