New Technique to Estimate the Asymmetric Trimming Mean

Table 2

Relative mean square error.

Estimator	Skewed normal	Beta (2,4)	Gamma (3,2)	Chisq $(4)$	Burr (3,1)	Pareto (3,1)	Weibull (1,3)
3G10	0.9991	0.997996	1	1	1	0.9943	1
3G20	1	1	0.9947	0.9983	1.0001	1	0.9988
4G10	0.9635	0.9962	0.9936	0.9819	0.9884	0.9943	0.98701
4G20	0.9140	0.9682	0.9536	0.9758	0.9856	1	0.9783
T10	0.9991	0.9962	1	1	1	0.9943	0.988
T20	1	0.9942	1.0004	0.9971	0.9903	1	0.9710
P10	0.9937	0.9962	0.9936	0.9196	1	0.9937	1
P20	0.9915	0.9942	0.9875	0.7709	1.0001	0.9421	0.9988
LQW0.12510	0.9991	0.9779	1	0.9196	0.9182	0.8856	0.9194
LQW0.12520	1	0.9516	0.9947	0.7709	0.8012	0.8139	0.7400
LQW0.2510	0.9814	0.9779	0.9936	1	0.9182	0.8856	0.91943
LQW0.2520	0.9127	0.9105	0.9875	0.9971	0.8012	0.8323	0.7400