Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression
Figure 3
(a) Data set with an outlier at index r. (b) Value autotransformation effect after removing the outlier at index r without replacement, where circle corresponds to elements after removing the outlier, red triangle corresponds to expected (correct) elements, and square corresponds to initial values of the shifted elements after removing the outlier.
