At least 5% of data even in a reasonably high quality data set will likely contain anomalies—odd as these data might be, it is more peculiar not to find them than to identify them. More formally ...

In a world of large data sets, techniques such as winsorisation can be used to handle outliers by keeping the observation but reducing its influence on aggregate metrics like value weighted ...

We propose a procedure for the detection of multiple outliers in multivariate data. Let X be an n × p data matrix representing n observations on p variates. We first order the n observations, using an ...