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

Table 3

Datasets for numerical study.

Characteristics	Pop-1	Pop-2	Pop-3	Pop-4	Pop-5	Pop-6
	34	34	34	34	80	80
	3	3	5	5	3	3
	856.4118	856.4118	856.4118	856.4118	5182.637	5182.637
	208.8824	199.4412	208.8824	199.4412	285.125	1126.463
	767.5	767.5	767.5	767.5	5105	5105
	150	142.5	150	142.5	148	757.5
	94.25	99.25	94.25	99.25	86.50	517.50
	254.75	278.00	254.75	278.00	445.25	1693.75
	160.50	178.75	160.50	178.75	358.75	1176.25
	80.25	89.375	80.25	89.375	179.375	588.125
	174.50	188.625	174.50	188.625	265.875	1105.625
	4.0999	4.2941	4.0999	4.2941	18.1767	4.6008
	1.1158	1.1158	1.1158	1.1158	1.0152	1.0152
	163356.41	163356.41	91690.371	91690.371	3365953.46	3365953.46
	6884.4455	6857.8555	3864.1726	3849.2480	73061.2791	715671.523
	101518.77	101518.77	59396.2836	59396.2836	1730215	1730215
	90236.294	90236.294	48074.9542	48074.9542	1198375	1198375
	0.4491	0.4453	0.4491	0.4453	0.915	0.941
	15061.401	14905.049	8453.8187	8366.0597	453752.241	1460496.58
	0.222726	0.222726	0.125014	0.125014	0.125316	0.125316
	0.157785	0.172408	0.08856	0.096771	0.898704	0.564001
	0.172341	0.172341	0.172341	0.100833	0.066391	0.066391
	0.137284	0.137284	0.137284	0.07314	0.045295	0.045295
	0.084194	0.08726	0.047257	0.048981	0.3071	0.25017
	162.25	89.375	162.25	89.375	206.937	931.562
	190.00	320.00	190.00	320.00	249.000	1040.500
	234.82	206.944	234.82	206.944	276.189	1150.700