Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression
Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression
We introduce a new nonparametric outlier detection method for linear series, which requires no missing or removed data imputation. For an arithmetic progression (a series without outliers) with<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:math>elements, the ratio (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mrow><mml:mi>R</mml:mi></mml:mrow></mml:math>) of the sum of the minimum and the maximum elements and the sum of all …