Premium
Line‐Fitting with Outliers
Author(s) -
Glaister Elizabeth M.,
Glaister Paul
Publication year - 2004
Publication title -
teaching statistics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.425
H-Index - 13
eISSN - 1467-9639
pISSN - 0141-982X
DOI - 10.1111/j.1467-9639.2004.00174.x
Subject(s) - outlier , statistics , line (geometry) , computer science , least squares function approximation , least trimmed squares , curve fitting , econometrics , mathematics , data mining , non linear least squares , explained sum of squares , estimator , geometry
Summary This article illustrates a method for fitting straight lines to data that is resistant to outliers and might therefore sometimes be preferred to the customary least squares procedure.