Table 16 MSE of stratified and calibrated memory-type product estimators based on HEWMA at different values of ρ, \(\:{\lambda\:}_{1}=0.25,\:0.50,\:0.75\), \(\:{\lambda\:}_{2}=\:0.05,\:0.15,\:0.20\), and sample sizes \(\:n\).
From: Innovative memory-type calibration estimators for better survey accuracy in stratified sampling
ρ | n | λ1 = 0.25, λ2 = 0.05 | λ1 = 0.50, λ2 = 0.15 | λ1 = 0.75, λ2 = 0.20 | |||
|---|---|---|---|---|---|---|---|
y** | \(\:{\widehat{y}}_{mpe}\) | y** | \(\:{\widehat{y}}_{mpe}\) | y** | \(\:{\widehat{y}}_{mpe}\) | ||
− 0.05 | 10 | 0.000216 | 0.000007 | 0.000214 | 0.000007 | 0.000871 | 0.000004 |
20 | 0.000114 | 0.000006 | 0.000115 | 0.000006 | 0.000437 | 0.000003 | |
30 | 0.000080 | 0.000006 | 0.000079 | 0.000005 | 0.000294 | 0.000002 | |
50 | 0.000051 | 0.000005 | 0.000052 | 0.000005 | 0.000179 | 0.000002 | |
200 | 0.000021 | 0.000005 | 0.000021 | 0.000005 | 0.000048 | 0.000001 | |
500 | 0.000015 | 0.000005 | 0.000015 | 0.000004 | 0.000022 | 0.000001 | |
− 0.25 | 10 | 0.000213 | 0.000007 | 0.000491 | 0.000005 | 0.000866 | 0.000004 |
20 | 0.000114 | 0.000006 | 0.000246 | 0.000003 | 0.000435 | 0.000003 | |
30 | 0.000080 | 0.000005 | 0.000167 | 0.000003 | 0.000294 | 0.000002 | |
50 | 0.000052 | 0.000005 | 0.000102 | 0.000002 | 0.000179 | 0.000002 | |
200 | 0.000021 | 0.000005 | 0.000030 | 0.000002 | 0.000048 | 0.000001 | |
500 | 0.000015 | 0.000005 | 0.000016 | 0.000002 | 0.000022 | 0.000001 | |
− 0.50 | 10 | 0.000225 | 0.000007 | 0.000489 | 0.000005 | 0.000885 | 0.000004 |
20 | 0.000112 | 0.000006 | 0.000246 | 0.000003 | 0.000437 | 0.000003 | |
30 | 0.000079 | 0.000006 | 0.000168 | 0.000003 | 0.000295 | 0.000002 | |
50 | 0.000051 | 0.000005 | 0.000102 | 0.000002 | 0.000180 | 0.000002 | |
200 | 0.000021 | 0.000005 | 0.000030 | 0.000002 | 0.000048 | 0.000001 | |
500 | 0.000015 | 0.000005 | 0.000016 | 0.000002 | 0.000022 | 0.000001 | |
− 0.75 | 10 | 0.000217 | 0.000007 | 0.000485 | 0.000005 | 0.000870 | 0.000004 |
20 | 0.000114 | 0.000006 | 0.000247 | 0.000004 | 0.000441 | 0.000003 | |
30 | 0.000079 | 0.000005 | 0.000166 | 0.000003 | 0.000293 | 0.000002 | |
50 | 0.000051 | 0.000005 | 0.000103 | 0.000003 | 0.000177 | 0.000002 | |
200 | 0.000021 | 0.000005 | 0.000030 | 0.000002 | 0.000048 | 0.000001 | |
500 | 0.000015 | 0.000005 | 0.000016 | 0.000002 | 0.000022 | 0.000001 | |
− 0.95 | 10 | 0.000216 | 0.000007 | 0.000490 | 0.000005 | 0.000863 | 0.000004 |
20 | 0.000113 | 0.000006 | 0.000247 | 0.000003 | 0.000441 | 0.000003 | |
30 | 0.000078 | 0.000006 | 0.000169 | 0.000003 | 0.000294 | 0.000002 | |
50 | 0.000051 | 0.000005 | 0.000102 | 0.000003 | 0.000179 | 0.000002 | |
200 | 0.000021 | 0.000005 | 0.000030 | 0.000002 | 0.000048 | 0.000001 | |
500 | 0.000015 | 0.000004 | 0.000016 | 0.000002 | 0.000022 | 0.000001 | |