Research Article
New Technique to Estimate the Asymmetric Trimming Mean
Table 1
Linear estimators.
| Estimator | Estimate | Variance | RE | Ln(RE) | Bias |
| Beta distributions (2,4) | | | | | |
| 3G0.20 | 0.330061 | 0.034774 | 1.000000 | 0 | 0.003266 | 3G0.10 | 0.326579 | 0.034809 | 1.001000 | 0.001 | 0.006748 | 4G0.10 | 0.342047 | 0.034839 | 1.001880 | 0.00188 | 0.008720 | T0.10 | 0.342047 | 0.034839 | 1.001880 | 0.00188 | 0.008720 | P0.10 | 0.342047 | 0.034839 | 1.001880 | 0.00188 | 0.008720 | T0.20 | 0.343893 | 0.034875 | 1.002900 | 0.0029 | 0.010566 | P0.20 | 0.343893 | 0.034875 | 1.002900 | 0.0029 | 0.010566 | LQW0.1250.10 | 0.313242 | 0.035167 | 1.011290 | 0.01123 | 0.020085 | LQW0.250.10 | 0.313242 | 0.035167 | 1.011290 | 0.01123 | 0.020085 | 4G0.20 | 0.357454 | 0.035345 | 1.016430 | 0.0163 | 0.024127 | LQW0.1250.20 | 0.303437 | 0.035657 | 1.025380 | 0.02506 | 0.029890 | LQW0.250.20 | 0.291850 | 0.036483 | 1.049160 | 0.04799 | 0.041477 |
| Gamma distribution (3,2) | | | | | |
| T0.20 | 6.036901 | 7.783501 | 0.999751 | 0.0002 | 0.036792 | 3G0.10 | 5.942697 | 7.785443 | 1.000000 | 0 | 0.057412 | T0.10 | 5.942697 | 7.785443 | 1.000000 | 0 | 0.057412 | LQW0.1250.10 | 5.942697 | 7.785443 | 1.000000 | 0 | 0.057412 | 3G0.20 | 5.845643 | 7.806007 | 1.002641 | 0.00264 | 0.154466 | 4G0.10 | 6.168469 | 7.810492 | 1.003217 | 0.00321 | 0.168360 | P0.10 | 6.168469 | 7.810492 | 1.003217 | 0.00321 | 0.168360 | LQW0.1250.20 | 5.845643 | 7.806007 | 1.002641 | 0.00264 | 0.154466 | LQW0.250.10 | 6.168469 | 7.810492 | 1.003217 | 0.00321 | 0.168360 | P0.20 | 6.228680 | 7.834392 | 1.006287 | 0.00627 | 0.228571 | LQW0.250.20 | 6.228680 | 7.834392 | 1.006287 | 0.00627 | 0.228571 | 4G0.20 | 6.439132 | 7.974888 | 1.024333 | 0.02404 | 0.439023 |
| Chi-square distribution | | | | | |
| 3G0.10 | 3.997780 | 9.828042 | 1.000000 | 0 | 0.002420 | T0.10 | 3.997780 | 9.828042 | 1.000000 | 0 | 0.002420 | P0.10 | 3.997780 | 9.828042 | 1.000000 | 0 | 0.002420 | 3G0.20 | 4.089484 | 9.836008 | 1.000811 | 0.00081 | 0.089284 | P0.20 | 3.881409 | 9.842147 | 1.001435 | 0.00143 | 0.118790 | T0.20 | 3.881409 | 9.842147 | 1.001435 | 0.00143 | 0.118790 | 4G0.10 | 4.301156 | 9.918610 | 1.009215 | 0.00917 | 0.300956 | 4G0.20 | 4.348989 | 9.949690 | 1.012378 | 0.0123 | 0.348789 | LQW0.1250.10 | 3.345020 | 10.257297 | 1.043677 | 0.04275 | 0.655180 | LQW0.250.10 | 3.345020 | 10.257297 | 1.043677 | 0.04275 | 0.655180 | LQW0.1250.20 | 2.791903 | 11.288018 | 1.148552 | 0.1385 | 1.208297 | LQW0.250.20 | 2.791903 | 11.288018 | 1.148552 | 0.1385 | 1.208297 |
| Burr distribution (3,1) | | | | | |
| 3G0.20 | 0.494108 | 0.278845 | 1.000000 | 0 | 0.006350 | P0.20 | 0.494108 | 0.278845 | 1.000000 | 0 | 0.006350 | 3G0.10 | 0.492520 | 0.278868 | 1.000081 | 0.000081 | 0.007938 | T0.10 | 0.492520 | 0.278868 | 1.000081 | 0.000081 | 0.007938 | P0.10 | 0.492520 | 0.278868 | 1.000081 | 0.000081 | 0.007938 | T0.20 | 0.462763 | 0.280226 | 1.004951 | 0.004939 | 0.037694 | 4G0.10 | 0.541519 | 0.280491 | 1.005902 | 0.005885 | 0.041061 | 4G0.20 | 0.546247 | 0.280902 | 1.007375 | 0.007348 | 0.045790 | LQW0.1250.10 | 0.388761 | 0.291281 | 1.044597 | 0.043631 | 0.111697 | LQW0.250.10 | 0.388761 | 0.291281 | 1.044597 | 0.043631 | 0.111697 | LQW0.1250.20 | 0.314296 | 0.313462 | 1.124141 | 0.117019 | 0.186162 | LQW0.250.20 | 0.314296 | 0.313462 | 1.124141 | 0.117019 | 0.186162 |
| Pareto distribution (3,1) | | | | | |
| 3G0.20 | 1.513229 | 5.210438 | 1.000000 | 0 | 0.013318 | 4G0.20 | 1.513229 | 5.210438 | 1.000000 | 0 | 0.013318 | T0.20 | 1.513229 | 5.210438 | 1.000000 | 0 | 0.013318 | 3G0.10 | 1.622767 | 5.225354 | 1.002863 | 0.00286 | 0.122856 | 4G0.10 | 1.622767 | 5.225354 | 1.002863 | 0.00286 | 0.122856 | T0.10 | 1.622767 | 5.225354 | 1.002863 | 0.00286 | 0.122856 | P0.10 | 1.370864 | 5.226914 | 1.003162 | 0.00316 | 0.129048 | p0.20 | 1.099740 | 5.370398 | 1.030700 | 0.03024 | 0.400172 | LQW0.1250.10 | 0.919826 | 5.546760 | 1.064548 | 0.06255 | 0.580086 | LQW0.250.10 | 0.919826 | 5.546760 | 1.064548 | 0.06255 | 0.580086 | LQW0.1250.20 | 0.728119 | 5.805925 | 1.114287 | 0.10821 | 0.771793 | LQW0.250.20 | 0.775311 | 5.735306 | 1.100734 | 0.09598 | 0.724600 |
| Weibull distribution (1,3) | | | | | |
| 3G0.10 | 2.999831 | 9.738460 | 1.000000 | 0 | 0.000277 | P0.10 | 2.999831 | 9.738460 | 1.000000 | 0 | 0.000277 | 3G0.20 | 3.074395 | 9.743978 | 1.000567 | 0.00057 | 0.074287 | P0.20 | 3.074395 | 9.743978 | 1.000567 | 0.00057 | 0.074287 | 4G0.10 | 3.253236 | 9.802534 | 1.006579 | 0.00656 | 0.253128 | T0.10 | 2.765150 | 9.793665 | 1.005669 | 0.00565 | 0.234958 | 4G0.20 | 3.328679 | 9.846419 | 1.011086 | 0.01103 | 0.328572 | T0.20 | 2.618965 | 9.883730 | 1.014917 | 0.01481 | 0.381143 | LQW0.1250.10 | 2.346914 | 10.165121 | 1.043812 | 0.04288 | 0.653193 | LQW0.250.10 | 2.346914 | 10.165121 | 1.043812 | 0.04288 | 0.653193 | LQW0.1250.20 | 1.692180 | 11.449135 | 1.175662 | 0.16183 | 1.307928 | LQW0.250.20 | 1.692180 | 11.449135 | 1.175662 | 0.16183 | 1.307928 |
| Skewed-normal distribution | | | | | |
| 3G0.20 | 2.593322 | 0.214400 | 1.000000 | 0 | 0.003977 | T0.20 | 2.593322 | 0.214400 | 1.000000 | 0 | 0.003977 | LQW0.1250.20 | 2.593322 | 0.214400 | 1.000000 | 0 | 0.003977 | 3G0.10 | 2.586861 | 0.214494 | 1.000434 | 0.00043 | 0.010438 | T0.10 | 2.586861 | 0.214494 | 1.000434 | 0.00043 | 0.010438 | LQW0.1250.10 | 2.586861 | 0.214494 | 1.000434 | 0.00043 | 0.010438 | P0.10 | 2.623642 | 0.215079 | 1.003163 | 0.00316 | 0.026343 | p0.20 | 2.627732 | 0.215311 | 1.004246 | 0.00424 | 0.030432 | LQW0.250.10 | 2.552086 | 0.216429 | 1.009461 | 0.00942 | 0.045214 | 4G0.10 | 2.661124 | 0.218458 | 1.018926 | 0.01875 | 0.063825 | 4G0.20 | 2.697760 | 0.224477 | 1.046999 | 0.04593 | 0.100461 | LQW0.250.20 | 2.495980 | 0.224650 | 1.047806 | 0.0467 | 0.101319 |
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