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

Table 2

Maximum likelihood estimates and their standard errors.

Model		A	MLE	Standard error	−Log (likelihood)
New Flexible Weibull	0.05380675	0.333476	10.16573786 0.03040949 1.22621069	8.77613169 0.01225008 0.08579209	411.0722
Weibull exponential	0.2145276	1.282891	3.95810505 0.01796843 0.85819193	1.214089581 0.004666546 0.059280045	419.8998
Weibull	0.1308177	0.7832353	0.09438292 1.04576466	0.01912624 0.06742473	414.0874
Exponential	0.1192893	0.7159703	0.1067695	0.009436355	414.3419
Rayleigh	0.4669078	2.732901	0.005079773	0.0004307331	491.2659
Algoharai inverse flexible Weibull	0.5735798	3.457475	0.1677404 0.1231948	0.02508775 0.01045528	451.0704