Skip to main content

Table 1 Worked example. Which points are outliers?

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

Time(X)

Residual

t ratio

P value

Threshold Q = 5%

Threshold Q = 1%

8

0.31

0.00

0.9969

0.0500

0.0100

5

7.85

0.10

0.9221

0.0462

0.0092

10

-17.26

0.22

0.8298

0.0423

0.0085

4

25.38

0.32

0.7524

0.0385

0.0077

0

31.05

0.40

0.6999

0.0346

0.0069

7

35.16

0.45

0.6628

0.0308

0.0062

11

-40.49

0.52

0.6160

0.0269

0.0054

12

49.48

0.63

0.5413

0.0231

0.0046

6

56.23

0.72

0.4888

0.0193

0.0038

9

-76.82

0.98

0.3494

0.0154

0.0031

2

-108.51

1.39

0.1956

0.0116

0.0023

1

-302.88

3.87

0.0031

0.0077

0.0015

3

-395.21

5.05

0.0005

0.0039

0.0008