Table 3.

MLEs, SEs put in parentheses, $\hat{\ell }$ and goodness-of-fits statistics for the considered data set.

Model	$\hat{\alpha }$	$\hat{\beta }$	$\hat{\ell }$	AIC	BIC	$A^{\ast }$	$W^{\ast }$	KS
ASHW	0.9363	3.8416	32.2902	−60.5805	−56.8381	0.3527	0.0562	0.0899
	(0.1448)	(0.4309)
Beta	8.0508	3.6189	31.1669	−58.3337	−54.5913	0.4740	0.0736	0.0869
	(1.4352)	(0.6412)
Johnson $S_B$	−1.2827	1.4566	29.7690	−55.5380	−51.7956	0.7137	0.1134	0.0999
	(0.1949)	0.1487
Kw	5.2872	4.0389	30.3267	−56.6534	−52.9110	0.6132	0.1003	0.0955
	(0.7289)	(0.9837)
UG	0.2025	3.8275	30.4142	−56.8284	−53.0860	0.7640	0.1274	0.1228
	(0.0949)	(0.6830)