On Predictive Modeling for the Al₂O₃ Data Using a New Statistical Model and Machine Learning Approach

Table 4

The plan parameters and OC values for NGExp-Weibull distribution for , and .

β
		c	n		c	n		c	n		c	n		c	n
0.25	2	7	18	0.9589	9	16	0.9618	9	13	0.9539	11	14	0.9582	5	18	0.9529
	4	2	7	0.9784	2	5	0.9667	2	4	0.9571	3	5	0.9664	4	6	0.9690
	6	1	5	0.9751	1	3	0.9753	2	4	0.9904	1	2	0.9651	2	3	0.9870
	8	1	5	0.9888	1	3	0.9888	1	3	0.9753	1	2	0.9837	1	2	0.9735
	10	0	2	0.9507	3	3	0.9941	1	3	0.9866	1	2	0.9912	1	2	0.9855
0.10	2	10	28	0.9540	13	24	0.9685	14	21	0.9608	18	24	0.9573	19	23	0.9593
	4	2	9	0.9551	3	8	0.9717	3	6	0.9697	4	7	0.9681	4	6	0.9690
	6	1	7	0.9512	1	4	0.9536	2	5	0.9784	2	4	0.9776	2	4	0.9571
	8	1	7	0.9775	1	4	0.9786	1	3	0.9753	1	3	0.9554	2	4	0.9849
	10	1	7	0.9879	1	4	0.9885	1	3	0.9866	1	3	0.9753	1	3	0.9599
0.05	2	12	35	0.9505	15	29	0.9591	18	28	0.9564	—	—	—	—	—	—
	4	3	13	0.9724	3	9	0.9555	4	9	0.9617	4	7	0.9681	5	8	0.9635
	6	2	11	0.9825	2	7	0.9784	2	6	0.9612	2	5	0.9517	2	4	0.9571
	8	1	8	0.9707	1	5	0.9657	1	4	0.9536	1	3	0.9554	2	3	0.9849
	10	1	8	0.9842	1	5	0.9813	1	4	0.9744	1	3	0.9753	1	3	0.9599
0.01	2	17	52	0.9533	—	—	—	—	—	—	—	—	—	—	—	—
	4	4	19	0.9725	4	13	0.9532	5	12	0.9586	6	11	0.9753	6	10	0.9610
	6	2	14	0.9895	2	9	0.9551	3	8	0.9836	3	7	0.9737	3	6	0.9697
	8	2	14	0.9886	2	7	0.9847	2	7	0.9784	2	6	0.9693	2	5	0.9667
	10	1	11	0.9704	1	7	0.9631	1	5	0.9593	1	4	0.9536	2	5	0.9855

Note. (—) indicates that the parameters cannot be found to satisfy conditions.