A Novel Method for Developing Efficient Probability Distributions with Applications to Engineering and Life Science Data

Table 3

Goodness of fit results for dataset 2.

Distribution	MLE of the parameters			AIC	CAIC	BIC	HQIC	K–S	value
MF	6.1151	1.2558		234.65	234.99	237.98	235.85	0.190	0.1194
FD	0.7779			280.98	281.09	282.64	281.58	0.558	5.61e − 11
ED	0.1130			250.03	250.15	251.70	250.64	0.202	0.08195
WD	1.0013	8.8585		252.04	252.37	255.36	253.23	0.2017	0.0836
APIWD	2.0394	1.4913	4.9249	237.33	238.01	242.32	239.12	0.2011	0.1049
APWD	10.7622	0.69493	0.4071	255.18	255.86	260.17	256.97	0.2201	0.0458

The bold values indicate that the proposed distribution is more significant as compared to other existing distributions.