A Nonconventional Auxiliary Information Based Robust Class of Exponential-type Difference Estimators

Table 4

Mean square error of the existing estimators.

Estimators	n = 3		n = 5
	Population.1	Population.2	Population.3	Population.4
	49647.54	49647.54	15641.30	15641.30
	39715.69	40030.52	12512.30	12611.49
	26832.12	26831.98	9942.496	9942.433
	26845.73	26845.80	9948.538	9948.570
	84266.71	84147.89	54798.76	54675.13
	83413.70	83642.20	52826.66	52784.47
	83266.01	83175.32	53543.50	53322.41
	84643.75	84390.43	55174.30	54924.52
	83190.44	83153.46	53369.81	53221.37
	73465.06	73465.02	50891.44	50891.29
	73468.74	73468.76	50906.42	50906.50
	88379.07	88379.07	58356.92	58356.92
	25270.68	25270.68	9003.447	9003.447
	25270.84	25270.64	9692.592	9692.479
	25290.04	25290.15	9703.386	9703.444
	25281.99	25281.99	9698.863	9698.863
	25292.18	25292.27	9704.585	9704.638
	25266.28	25266.06	9690.024	9689.899
	25278.69	25278.69	9697.008	9697.008
	25270.68	25270.68	9003.447	9003.447
	25270.68	25270.68	9003.447	9003.447
	25270.68	25270.68	9003.447	9003.447
	25270.68	25270.68	9003.447	9003.447
	94267.17	94267.17	56534.89	56534.89
	83148.69	83148.69	52778.83	52778.83
	74682.14	74682.14	49235.79	49235.79
	71158.71	71158.71	47885.95	47885.95