Resolution:
standard / ## Figure 2.
Determination of the linearity rejection region by Monte Carlo simulations. 3–150
samples were used from linear functions which were imposed by additional Gaussian
noise. The example for
m = 20 is shown, for which in some cases, fewer than 20 samples were returned due to
outliers that were caused by the imposed technical error. For each of these m_{return }values, adapted maximum likelihood limits were determined for which the null hypothesis,
the existence of a linearity, would need to be rejected.
Kose |