Table 13 Numerical values for \(\pmb K{_2}\) of SRS divided by \(\pmb K{_2}\) of RSS for all estimators.
n | ESt. | MLE | ADE | CVME | MPSE | OLSE | RTADE | WLSE | LTADE |
|---|---|---|---|---|---|---|---|---|---|
\(\alpha =1.5,~\beta =2.0\) | |||||||||
30 | \(\hat{\alpha }\) | 1.94788 | 1.41574 | 1.45599 | 1.21072 | 1.50387 | 1.20332 | 1.59456 | 1.54325 |
\(\hat{\beta }\) | 3.40136 | 2.97115 | 2.97434 | 2.93861 | 3.06759 | 2.81424 | 3.02705 | 3.22909 | |
80 | \(\hat{\alpha }\) | 1.72122 | 1.57278 | 1.39295 | 1.16454 | 1.64097 | 1.26055 | 1.71713 | 1.55103 |
\(\hat{\beta }\) | 2.85263 | 3.04251 | 3.12267 | 2.82564 | 3.10359 | 2.92126 | 2.81938 | 2.86938 | |
150 | \(\hat{\alpha }\) | 1.51839 | 1.42995 | 1.62539 | 1.14360 | 1.38797 | 1.27018 | 1.39548 | 1.54274 |
\(\hat{\beta }\) | 2.61738 | 3.17670 | 2.48558 | 2.93802 | 3.06804 | 3.01271 | 2.89879 | 3.06963 | |
300 | \(\hat{\alpha }\) | 1.88168 | 1.36565 | 1.35417 | 1.31781 | 1.52655 | 1.20635 | 1.50000 | 1.61207 |
\(\hat{\beta }\) | 3.00376 | 2.84980 | 2.68852 | 2.70677 | 3.24803 | 2.98361 | 2.93050 | 3.12598 | |
400 | \(\hat{\alpha }\) | 1.71354 | 1.52734 | 1.48378 | 1.29297 | 1.56119 | 1.24601 | 1.43689 | 1.42007 |
\(\hat{\beta }\) | 3.02083 | 3.07143 | 2.70370 | 2.92473 | 3.22680 | 2.93370 | 2.69683 | 2.91905 | |
500 | \(\hat{\alpha }\) | 1.63190 | 1.62264 | 1.47331 | 1.44500 | 1.48936 | 1.28625 | 1.38521 | 1.60680 |
\(\hat{\beta }\) | 3.11940 | 2.52353 | 2.94083 | 2.67500 | 3.00641 | 2.88667 | 2.85185 | 3.23333 | |
\(\alpha =0.8,~\beta =0.2\) | |||||||||
30 | \(\hat{\alpha }\) | 1.75194 | 1.46359 | 1.51740 | 1.16357 | 1.52696 | 1.04202 | 1.62540 | 1.57386 |
\(\hat{\beta }\) | 1.84034 | 1.57143 | 1.54972 | 1.16957 | 1.37387 | 1.14333 | 1.51275 | 1.45609 | |
80 | \(\hat{\alpha }\) | 1.52294 | 1.48638 | 1.55357 | 1.25253 | 1.45143 | 1.03605 | 1.43620 | 1.43793 |
\(\hat{\beta }\) | 1.76923 | 1.85455 | 1.70896 | 1.52740 | 1.62329 | 1.09333 | 1.74825 | 1.64754 | |
150 | \(\hat{\alpha }\) | 1.79048 | 1.27778 | 1.54545 | 1.26490 | 1.47222 | 1.19198 | 1.43017 | 1.44056 |
\(\hat{\beta }\) | 2.02083 | 1.47619 | 1.70769 | 1.48611 | 1.63636 | 1.39791 | 1.55696 | 1.61290 | |
300 | \(\hat{\alpha }\) | 1.50877 | 1.42857 | 1.58025 | 1.24675 | 1.54118 | 1.08122 | 1.38636 | 1.48529 |
\(\hat{\beta }\) | 1.76000 | 1.60000 | 1.87879 | 1.48571 | 1.70270 | 1.16364 | 1.58974 | 1.65517 | |
400 | \(\hat{\alpha }\) | 1.68293 | 1.46000 | 1.53125 | 1.32143 | 1.34783 | 1.02878 | 1.40299 | 1.57143 |
\(\hat{\beta }\) | 1.94444 | 1.63636 | 1.73077 | 1.64000 | 1.51724 | 1.13514 | 1.65517 | 1.72727 | |
500 | \(\hat{\alpha }\) | 1.65625 | 1.28889 | 1.42593 | 1.37209 | 1.46154 | 1.14912 | 1.44898 | 1.53846 |
\(\hat{\beta }\) | 1.92857 | 1.45000 | 1.63636 | 1.55000 | 1.68182 | 1.21311 | 1.68182 | 1.76471 | |
\(\alpha =1.0,~\beta =1.5\) | |||||||||
30 | \(\hat{\alpha }\) | 1.87862 | 1.68271 | 1.80688 | 1.22892 | 1.56077 | 1.17000 | 1.52626 | 1.54524 |
\(\hat{\beta }\) | 3.12962 | 3.29243 | 2.83143 | 2.82643 | 3.14588 | 2.23471 | 2.78080 | 3.12941 | |
80 | \(\hat{\alpha }\) | 1.61620 | 1.43863 | 1.52493 | 1.31751 | 1.44444 | 1.07143 | 1.41343 | 1.68339 |
\(\hat{\beta }\) | 3.13978 | 2.91189 | 2.90986 | 2.76529 | 2.93714 | 2.05980 | 2.79719 | 3.08230 | |
150 | \(\hat{\alpha }\) | 1.71362 | 1.41118 | 1.71654 | 1.30255 | 1.53125 | 1.21887 | 1.55140 | 1.55435 |
\(\hat{\beta }\) | 2.98580 | 2.72093 | 2.97105 | 3.00567 | 2.69042 | 2.54512 | 3.07672 | 2.89891 | |
300 | \(\hat{\alpha }\) | 1.60360 | 1.59398 | 1.65608 | 1.29730 | 1.45361 | 1.11864 | 1.41011 | 1.38509 |
\(\hat{\beta }\) | 2.90751 | 2.89444 | 3.28729 | 2.90230 | 2.79679 | 2.19408 | 2.61353 | 2.77473 | |
400 | \(\hat{\alpha }\) | 1.94595 | 1.47706 | 1.40000 | 1.47706 | 1.60584 | 1.08780 | 1.48780 | 1.63303 |
\(\hat{\beta }\) | 2.82308 | 2.82836 | 2.81757 | 3.00752 | 2.75839 | 2.19048 | 2.67974 | 2.92029 | |
500 | \(\hat{\alpha }\) | 1.67164 | 1.58621 | 1.40000 | 1.35714 | 1.55455 | 1.31646 | 1.52525 | 1.69412 |
\(\hat{\beta }\) | 2.74545 | 2.83810 | 3.05505 | 2.72566 | 2.68103 | 2.38824 | 2.85714 | 2.90826 | |