Figure 2From: Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rateRobust curve fits vs. least-squares curve fits. The three examples show that a single outlier greatly affects the least-squares fit (dotted), but not the robust fit (solid).Back to article page