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

Table 2

Goodness of fit results for dataset 1.

Distribution	MLE of the parameters				AIC	CAIC	BIC	HQIC	K–S	value
MF	6.4571	3.5588			34.88	35.59	36.87	35.27	0.107	0.9759
FD	2.2255				59.16	59.39	60.16	59.36	0.473	0.0003
ED	0.5263				67.67	67.89	68.66	67.86	0.439	0.0009
WD	2.7843	2.1271			45.17	45.87	47.16	45.56	0.183	0.5104
APIWD	1.7688	4.1692	5.4473		36.79	38.29	39.77	37.37	0.124	0.9644
APWD	10.9388	2.0312	0.4230		46.58	48.08	49.57	47.16	0.162	0.6678
KIWD	1.5668	1.2318	3.7669	3.5843	38.80	41.47	42.78	39.58	0.134	0.9540

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