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Figure 23 | BMC Bioinformatics

Figure 23

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

Figure 23

Using the Benjamini and Hochberg method to detect outliers in the second example. A P value was determined for each point by computing a t ratio by dividing its residual by the RSDR, and computing a two-tailed P value from the t distribution. The P values are shown plotted against their rank. The dashed line shows what you'd expect to see if the P values are randomly scattered between 0 and 1. All the points are near this line, and none are below the solid Q = 1% threshold line. Therefore none of the points are defined to be outliers.

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BMC Bioinformatics

ISSN: 1471-2105

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