Research Article
Efficient Estimation of the Generalized Quasi-Lindley Distribution Parameters under Ranked Set Sampling and Applications
Table 1
Es, MSE, and Eff values using the MLE, MPS, and OLS methods for the GQLD parameters with
, under SRS and RSS.
| | | ā | Method | MLE | MPS | OLS | Es | MSE | Eff | Es | MSE | Eff | Es | MSE | Eff |
| 3 | 5 | | SRS | 1.548 | 2.94 | 2.715 | 1.551 | 3.393 | 2.307 | 1.581 | 3.099 | 2.499 | RSS | 1.261 | 1.083 | 1.242 | 1.471 | 1.296 | 1.240 | | SRS | 1.032 | 0.032 | 2.133 | 1.068 | 0.039 | 1.950 | 1.020 | 0.038 | 2.235 | RSS | 1.014 | 0.015 | 1.054 | 0.020 | 1.005 | 0.017 | 10 | | SRS | 1.288 | 1.243 | 10.106 | 1.274 | 1.392 | 9.943 | 1.327 | 1.393 | 9.476 | RSS | 1.057 | 0.123 | 1.020 | 0.140 | 1.072 | 0.147 | | SRS | 1.017 | 0.013 | 3.250 | 1.041 | 0.015 | 3.000 | 1.014 | 0.017 | 4.250 | RSS | 1.005 | 0.004 | 1.029 | 0.005 | 1.001 | 0.004 | 15 | | SRS | 1.189 | 0.645 | 13.438 | 1.168 | 0.681 | 10.984 | 1.211 | 0.720 | 13.585 | RSS | 1.024 | 0.048 | 1.000 | 0.062 | 1.033 | 0.053 | | SRS | 1.013 | 0.010 | 5.000 | 1.029 | 0.011 | 5.500 | 1.010 | 0.012 | 6.000 | RSS | 1.002 | 0.002 | 1.020 | 0.002 | 1.000 | 0.002 |
| 4 | 5 | | SRS | 1.420 | 2.113 | 2.919 | 1.400 | 2.327 | 2.577 | 1.439 | 2.224 | 2.801 | RSS | 1.171 | 0.724 | 1.124 | 0.903 | 1.204 | 0.794 | | SRS | 1.022 | 0.021 | 1.909 | 1.051 | 0.025 | 1.786 | 1.014 | 0.026 | 2.000 | RSS | 1.008 | 0.011 | 1.041 | 0.014 | 1.003 | 0.013 | 10 | | SRS | 1.195 | 0.687 | 7.387 | 1.175 | 0.757 | 6.759 | 1.216 | 0.739 | 7.465 | RSS | 1.043 | 0.093 | 1.013 | 0.112 | 1.049 | 0.099 | | SRS | 1.017 | 0.010 | 3.333 | 1.035 | 0.011 | 2.750 | 1.011 | 0.012 | 4.000 | RSS | 1.003 | 0.003 | 1.023 | 0.004 | 1.000 | 0.003 | 15 | | SRS | 1.098 | 0.328 | 7.810 | 1.079 | 0.347 | 7.229 | 1.103 | 0.339 | 7.370 | RSS | 1.014 | 0.042 | 0.991 | 0.048 | 1.017 | 0.046 | | SRS | 1.004 | 0.007 | 7.000 | 1.018 | 0.007 | 3.500 | 1.001 | 0.008 | 4.000 | RSS | 1.000 | 0.001 | 1.015 | 0.002 | 0.998 | 0.002 |
| 5 | 5 | | SRS | 1.376 | 1.845 | 4.020 | 1.364 | 2.026 | 3.033 | 1.393 | 1.851 | 3.553 | RSS | 1.128 | 0.459 | 1.111 | 0.668 | 1.155 | 0.521 | | SRS | 1.018 | 0.020 | 2.222 | 1.044 | 0.022 | 2.000 | 1.013 | 0.023 | 2.300 | RSS | 1.005 | 0.009 | 1.033 | 0.011 | 1.001 | 0.010 | 10 | | SRS | 1.158 | 0.555 | 6.768 | 1.138 | 0.595 | 6.198 | 1.162 | 0.539 | 5.923 | RSS | 1.036 | 0.082 | 1.012 | 0.096 | 1.044 | 0.091 | | SRS | 1.009 | 0.009 | 4.500 | 1.024 | 0.010 | 3.333 | 1.005 | 0.010 | 3.333 | RSS | 1.003 | 0.002 | 1.021 | 0.003 | 1.001 | 0.003 | 15 | | SRS | 1.073 | 0.241 | 7.774 | 1.056 | 0.248 | 6.703 | 1.075 | 0.245 | 7.206 | RSS | 1.017 | 0.031 | 0.998 | 0.037 | 1.021 | 0.034 | | SRS | 1.004 | 0.006 | 6.000 | 1.015 | 0.006 | 3.000 | 1.000 | 0.007 | 7.000 | RSS | 1.002 | 0.001 | 1.015 | 0.002 | 1.000 | 0.001 |
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