A Bayesian-Weighted Inverse Gaussian Regression Model with Application to Seismological Data

Table 1

The values of RMSE and RB of the Bayes estimators of the regression coefficients for WIG model along with corresponding values for IG and LN models.

Sample size	Parameter	Criterion	Regression model
			WIG	IG	LN
25		RB	0.2320	0.2980	1.9473
		RMSE	1.6103	1.8196	1.9476
		RB	1.1686	1.1922	2.9271
		RMSE	1.5167	1.5973	2.9273
50		RB	0.7869	1.0280	1.5233
		RMSE	0.8208	1.0330	1.5320
		RB	1.8000	2.2501	2.5713
		RMSE	1.8402	2.3391	2.5781
75		RB	0.8016	1.1144	1.7650
		RMSE	0.8462	1.1761	1.7662
		RB	1.6332	1.8960	2.8198
		RMSE	1.6842	1.9694	2.8013
100		RB	0.6218	0.9609	1.8919
		RMSE	0.7470	1.0904	1.8726
		RB	1.5020	1.6789	2.8914
		RMSE	1.6014	1.8123	2.8917