A Novel Generalized-M Family: Heavy-Tailed Characteristics with Applications in the Engineering Sector

Table 1

The results of the simulation study of the NGen-Weibull model for .

n	Parameters	MLEs	MSEs	Biases
25		1.57272700	0.10565145	0.17272731
		1.15407200	0.06573026	0.15407212
		3.230664 00	6.47732440	2.03066430
50		1.52288400	0.05360254	0.12288441
		1.13838900	0.04414655	0.13838869
		2.69624200	4.51638700	1.49624160
75		1.49738600	0.03260828	0.09738595
		1.12120700	0.03170536	0.12120685
		2.50034400	3.78230730	1.30034420
100		1.48435200	0.02587331	0.08435211
		1.10939400	0.02752766	0.10939399
		2.24930400	2.82126370	1.04930410
150		1.46361500	0.01655346	0.06361484
		1.09583800	0.02307459	0.09583788
		2.16424400	2.76536040	0.96424440
200		1.45604900	0.01408698	0.05604902
		1.08893700	0.02016455	0.08893705
		2.02291800	2.18558790	0.82291830
300		1.44233200	0.00948109	0.04233205
		1.07478400	0.01469160	0.07478449
		1.80914600	1.47998310	0.60914590
400		1.43438700	0.00710442	0.03438667
		1.06524200	0.01251653	0.06524163
		1.67936500	1.08931920	0.47936480
500		1.43820200	0.00648074	0.03820168
		1.06577600	0.01241515	0.06577620
		1.67539100	1.02479190	0.47539100
600		1.43061800	0.00528021	0.03061809
		1.06079900	0.01133082	0.06079897
		1.64763900	1.01068440	0.44763910
700		1.43231000	0.00516572	0.03231025
		1.05961300	0.01092145	0.05961322
		1.62284000	0.91456200	0.42284040
750		1.41498100	0.00400002	0.02498083
		1.04965000	0.00870671	0.04964955
		1.51043600	0.63627510	0.32043650