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An outlier is an observation that appears to be unusual or not well described relative to a simple characterization of a dataset. A discomfiting possibility is that these data come from a different population than the one intended to be studied.

3 votes
3 answers
7k views

Detecting outliers along the distribution in a scatter plot

But then I have no good criteria for defining bin width, which would influence the total number of outliers I detect. … I saw that a kernal density approach can be used to identify outliers in a scatter plot, though I am not familiar with this. Also this seemed to also detect outliers below the mean. …
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0 votes
0 answers
485 views

Problem using funnel plot to detect outliers

I don't want to set a hard cut-off of mean score > 0.5 because I will miss the longer genes that are clearly outliers for their size but which are not above this hard cut-off. … I have been using a funnel plot to try and identify outliers. I tried to get a null distribution for detecting outliers. …
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