Voltolini wrote: > > Hi, > > I would like to know if methods for detecting outliers > using interquartil ranges are indicated for data with > NON normal distribution. > > The software "Statistica" presents this method: > data point value > UBV + o.c.*(UBV - LBV) > data point value < LBV - o.c.*(UBV - LBV) > > where: UBV is the 75th percentile) and LBV is the 25th percentile). o.c. is > the outlier coefficient.
The values of the outlier coefficient are traditionally chosen by reference to some percentile of the normal distribution. (If anyone didn't recognise it, this is just the outliers on a boxplot.) If you choose that coefficient in some appropriate way, then it may be reasonable for non-normal data. Glen ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ =================================================================