Research Article
Efficient Estimation of the Generalized Quasi-Lindley Distribution Parameters under Ranked Set Sampling and Applications
Table 6
Es, MSE, and Eff values using the WLS, CV, and AD methods for the GQLD model parameters with
, under SRS and RSS.
| | | ā | Method | WLS | CV | AD | Es | MSE | Eff | Es | MSE | Eff | Es | MSE | Eff |
| 3 | 5 | | SRS | 0.747 | 0.788 | 2.680 | 0.730 | 0.777 | 2.707 | 0.732 | 0.739 | 2.707 | RSS | 0.634 | 0.294 | 0.617 | 0.287 | 0.629 | 0.273 | | SRS | 1.011 | 0.028 | 2.000 | 1.018 | 0.028 | 2.000 | 1.010 | 0.026 | 2.000 | RSS | 1.005 | 0.014 | 1.013 | 0.014 | 1.006 | 0.013 | 10 | | SRS | 0.602 | 0.228 | 5.067 | 0.592 | 0.225 | 5.114 | 0.602 | 0.226 | 5.136 | RSS | 0.530 | 0.045 | 0.519 | 0.044 | 0.527 | 0.044 | | SRS | 1.005 | 0.013 | 3.250 | 1.010 | 0.013 | 3.250 | 1.006 | 0.013 | 3.250 | RSS | 0.999 | 0.004 | 1.003 | 0.004 | 0.999 | 0.004 | 15 | | SRS | 0.586 | 0.142 | 8.875 | 0.578 | 0.141 | 8.812 | 0.586 | 0.140 | 9.333 | RSS | 0.519 | 0.016 | 0.511 | 0.016 | 0.518 | 0.015 | | SRS | 1.010 | 0.009 | 9.000 | 1.013 | 0.009 | 9.000 | 1.010 | 0.009 | 9.000 | RSS | 1.000 | 0.001 | 1.003 | 0.001 | 1.001 | 0.001 |
| 4 | 5 | | SRS | 0.670 | 0.467 | 4.026 | 0.657 | 0.468 | 4.105 | 0.665 | 0.452 | 3.930 | RSS | 0.556 | 0.116 | 0.542 | 0.114 | 0.554 | 0.115 | | SRS | 1.006 | 0.020 | 2.500 | 1.012 | 0.021 | 2.625 | 1.007 | 0.019 | 2.375 | RSS | 0.995 | 0.008 | 1.001 | 0.008 | 0.996 | 0.008 | 10 | | SRS | 0.566 | 0.130 | 4.483 | 0.557 | 0.128 | 4.414 | 0.565 | 0.128 | 4.414 | RSS | 0.528 | 0.029 | 0.519 | 0.029 | 0.527 | 0.029 | | SRS | 1.004 | 0.009 | 3.000 | 1.007 | 0.009 | 3.000 | 1.003 | 0.009 | 3.000 | RSS | 1.002 | 0.003 | 1.005 | 0.003 | 1.002 | 0.003 | 15 | | SRS | 0.546 | 0.086 | 7.167 | 0.540 | 0.084 | 7.000 | 0.547 | 0.085 | 7.083 | RSS | 0.508 | 0.012 | 0.501 | 0.012 | 0.507 | 0.012 | | SRS | 1.003 | 0.006 | 6.000 | 1.005 | 0.006 | 6.000 | 1.003 | 0.006 | 6.000 | RSS | 0.998 | 0.001 | 1.001 | 0.001 | 0.999 | 0.001 |
| 5 | 5 | | SRS | 0.675 | 0.380 | 4.086 | 0.662 | 0.375 | 4.121 | 0.670 | 0.383 | 4.303 | RSS | 0.559 | 0.093 | 0.546 | 0.091 | 0.557 | 0.089 | | SRS | 1.017 | 0.017 | 2.429 | 1.022 | 0.018 | 2.571 | 1.016 | 0.017 | 2.429 | RSS | 1.002 | 0.007 | 1.007 | 0.007 | 1.002 | 0.007 | 10 | | SRS | 0.559 | 0.097 | 4.409 | 0.552 | 0.096 | 4.364 | 0.557 | 0.096 | 4.364 | RSS | 0.511 | 0.022 | 0.503 | 0.022 | 0.509 | 0.022 | | SRS | 1.005 | 0.008 | 4.000 | 1.008 | 0.008 | 4.000 | 1.005 | 0.007 | 3.500 | RSS | 0.998 | 0.002 | 1.001 | 0.002 | 0.998 | 0.002 | 15 | | SRS | 0.542 | 0.070 | 7.000 | 0.536 | 0.069 | 6.900 | 0.542 | 0.070 | 7.000 | RSS | 0.509 | 0.010 | 0.504 | 0.010 | 0.509 | 0.010 | | SRS | 1.004 | 0.005 | 5.000 | 1.006 | 0.005 | 5.000 | 1.003 | 0.005 | 5.000 | RSS | 1.000 | 0.001 | 1.002 | 0.001 | 1.000 | 0.001 |
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