A Novel Approach to Increase the Goodness of Fits with an Application to Real and Simulated Data Sets

Table 4

Maximum likelihood estimates and their standard errors.

Model		A	MLE	Standard error	−Log (likelihood)
New Flexible Weibull	0.03102229	0.2030428	5.76837798 0.01042908 1.67665818	5.005788237 0.004881936 0.120421644	317.4732
Weibull exponential	0.02703831	0.1790243	0.101242	0.01012321	329.0209
Weibull	0.126702	0.7870705	0.006687701	0.0006534074	329.2401
Exponential	0.06487204	0.4081043	0.02910765 1.47649529	0.009255278 0.111143695	318.7446
Rayleigh	0.111572	0.701227	4.37657990 0.02382191 1.26619552	3.87810801 0.01229863 0.13308418	320.8443
Algoharai inverse flexible Weibull	0.1745745	1.246087	1.650444 0.114458	0.17051978 0.01160817	330.7804