Table 27. Computer implementation of Examples 4 and 5.

Step of above algorithm	Example 4	Example 5
1	Survival days	Repair times
2	A population the data come from is definitely abnormal (Figure 9, left)	A population the data come from is definitely abnormal (Figure 9, right)
3	The data come from the lognormal population (Figure 10, left)	The data come from the lognormal population (Figure 10, right)
4	The actual distribution that holds in the population in question is the $Log(4.128,1.217)$ (Figure 11, left)	The actual distribution that holds in the population in question is the $Log(0.658,1.101)$ (Figure 11, right)
5	$n=100$	$n=50$
6	Optimally selected rules is $h_{13},$ and bin count $\eta =10$(Table 28). Comparison of histograms for analyzed data (Figure 12)	Optimally selected rules is $h_{13},$ and bin count $\eta =5$(Table 29). Comparison of histograms for analyzed data (Figure 13)
7	Similarity measure $MN=0.823$ for the EBCH is higher than $M=0.724$ for the EBWH	Similarity measure $MN=0.864$ for the EBCH is higher than $M=0.83$ for the EBWH