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Figure 11 | BMC Bioinformatics

Figure 11

From: Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate

Figure 11

Don't use outlier elimination if you don't use weighting correctly. The graph shows data simulated with Gaussian scatter with a standard deviation equal to 10% of the Y value. The left panel shows our method used incorrectly, without adjusting for the fact that the scatter increases as Y increases. Four outliers are identified, all incorrectly. The right panel shows the correct analysis, where weighted residuals are used to define outliers, and no outliers are found.

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BMC Bioinformatics

ISSN: 1471-2105

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