[Retracted] Classical and Bayesian Inference of Marshall-Olkin Extended Gompertz Makeham Model with Modeling of Physics Data

Table 4

MLEs of the models parameters with SE and different measures for fitting: flood peaks data.

		MLEs	SE	KSS	PVKS	CVMS	ADS	AICM	AICCM	BICM	HQICM
		0.0141	0.0569	0.0985	0.4873	0.1014	0.5756	506.9077	507.5047	516.0144	510.5331
		0.0185	0.0379
		0.0319	0.0382
		0.2966	0.3969
GL		1.7323	3.7299	0.0999	0.4691	0.1193	0.6709	507.6678	508.2648	516.7744	511.2931
		0.4989	3.6786
		1.2268	5.6233
		0.1877	0.6431
Gompertz		0.0013	0.0081	0.1463	0.0918	0.1120	0.6459	508.2565	508.429	518.8094	512.8534
		0.0852	0.0148
EGWG		1.6924	19.7580	0.1026	0.4351	0.1027	0.6039	509.3512	510.2603	520.7345	513.8829
		0.4178	4.5617
		0.1118	4.4805
		0.5656	3.0847
		0.3331	0.4674
BGG		0.0123	0.0191	0.0998	0.4799	0.4754	0.5876	508.5600	509.4691	519.9433	513.0917
		0.0331	0.0851
		0.5632	1.6298
		1.4283	4.6792
		1.6742	3.1784
KGM		0.0229	0.0442	0.1034	0.4251	0.1102	0.5928	508.7930	509.7020	520.1763	513.3247
		0.0160	0.0508
		0.0399	0.0788
		0.7910	0.1410
		1.1351	0.9661
TGM		0.0036	0.0596	0.1290	0.1821	0.1112	0.6376	508.4915	509.0885	517.5982	512.1169
		0.0655	0.0499
		0.0053	0.0060
		0.2544	0.4056