Determining whether a data point is an "outlier" - a result that does not fit, is too high or too low, is extreme or discordant - is difficult when using small data sets, such as the data from three, ...

Finding the "K most likely outliers", i. e. those K observations whose removal from the data most reduces the sum of squared residuals from a linear model, can require lengthy computation. The ...