Page 116 - Special Topic Session (STS) - Volume 1

STS410 Abdul Ghapor H. et al.
For FDMCEC of each value of  , we find the best fit using the least square
method to obtain the power series equation. Figures 1 to 3 show the power
series graphs of 5% upper percentile for concentration parameters are 10, 15
and 20, respectively with their cut-off equation y. We consider 95% confidence
level and thus the cut-off equation is to be at 5% significance level.

0.012
5% upper percentile 0.008 y = 0.1171n -0.8
0.01

R² = 0.9897
0.006
0.004
0.002
0
0 50 100 150 200
n

Figure 1 The power series graph for FDMCEC to determine the cut-off equation for = 10

0.008
5% upper percentile 0.006 y = 0.0803n -0.82

R² = 0.9954
0.004
0.002

0
0 50 100 150 200
n

Figure 2 The power series graph for FDMCEC to determine the cut-off equation for = 15

Figure 3 The power series graph for FDMCEC to determine the cut-off equation for = 20

3. Results
To assess the power of performance of the cut-off equations developed in
the previous section, another simuation study is done with an outlier planted
to the generated data set. The steps in the simulation are described and the

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