Research Article
Efficient Estimation of the Generalized Quasi-Lindley Distribution Parameters under Ranked Set Sampling and Applications
Table 3
Es, MSE, and Eff values using the MLE, MPS, and OLS methods for the GQLD model parameters with
, under SRS and RSS.
| | | ā | Method | MLE | MPS | OLS | Es | MSE | Eff | Es | MSE | Eff | Es | MSE | Eff |
| 3 | 5 | | SRS | 1.523 | 2.913 | 2.715 | 1.533 | 3.385 | 2.287 | 1.591 | 3.074 | 2.465 | RSS | 1.268 | 1.073 | 1.249 | 1.480 | 1.312 | 1.247 | | SRS | 3.082 | 0.279 | 2.098 | 3.192 | 0.337 | 1.872 | 3.062 | 0.339 | 2.159 | RSS | 3.048 | 0.133 | 3.164 | 0.180 | 3.025 | 0.157 | 10 | | SRS | 1.235 | 1.059 | 8.209 | 1.210 | 1.142 | 7.513 | 1.243 | 1.069 | 7.476 | RSS | 1.055 | 0.129 | 1.012 | 0.152 | 1.068 | 0.143 | | SRS | 3.041 | 0.123 | 3.514 | 3.106 | 0.141 | 3.000 | 3.015 | 0.145 | 3.816 | RSS | 3.012 | 0.035 | 3.082 | 0.047 | 3.003 | 0.038 | 15 | | SRS | 1.191 | 0.63 | 13.125 | 1.169 | 0.672 | 11.200 | 1.212 | 0.709 | 13.130 | RSS | 1.027 | 0.048 | 1.001 | 0.060 | 1.033 | 0.054 | | SRS | 3.044 | 0.084 | 6.000 | 3.094 | 0.094 | 4.273 | 3.034 | 0.102 | 6.375 | RSS | 3.007 | 0.014 | 3.064 | 0.022 | 3.000 | 0.016 | 4 | 5 | | SRS | 1.402 | 2.025 | 4.175 | 1.397 | 2.339 | 3.566 | 1.431 | 2.132 | 3.891 | RSS | 1.094 | 0.485 | 1.042 | 0.656 | 1.126 | 0.548 | | SRS | 3.064 | 0.192 | 2.286 | 3.153 | 0.228 | 2.131 | 3.039 | 0.243 | 2.455 | RSS | 2.998 | 0.084 | 3.092 | 0.107 | 2.981 | 0.099 | 10 | | SRS | 1.143 | 0.579 | 6.095 | 1.121 | 0.645 | 5.513 | 1.163 | 0.637 | 6.307 | RSS | 1.045 | 0.095 | 1.011 | 0.117 | 1.052 | 0.101 | | SRS | 3.029 | 0.087 | 3.346 | 3.082 | 0.097 | 2.553 | 3.008 | 0.103 | 3.679 | RSS | 3.012 | 0.026 | 3.073 | 0.038 | 3.002 | 0.028 | 15 | | SRS | 1.106 | 0.333 | 9.000 | 1.087 | 0.353 | 8.209 | 1.117 | 0.366 | 8.927 | RSS | 1.009 | 0.037 | 0.985 | 0.043 | 1.013 | 0.041 | | SRS | 3.022 | 0.058 | 5.273 | 3.063 | 0.064 | 4.000 | 3.011 | 0.070 | 5.385 | RSS | 3.000 | 0.011 | 3.042 | 0.016 | 2.994 | 0.013 |
| 5 | 5 | | SRS | 1.330 | 1.321 | 3.294 | 1.314 | 1.480 | 2.852 | 1.362 | 1.417 | 3.220 | RSS | 1.118 | 0.401 | 1.095 | 0.519 | 1.141 | 0.440 | | SRS | 3.066 | 0.159 | 2.208 | 3.145 | 0.186 | 1.879 | 3.051 | 0.182 | 2.220 | RSS | 3.025 | 0.072 | 3.116 | 0.099 | 3.010 | 0.082 | 10 | | SRS | 1.110 | 0.400 | 6.061 | 1.087 | 0.421 | 5.329 | 1.122 | 0.420 | 6.000 | RSS | 1.017 | 0.066 | 0.991 | 0.079 | 1.023 | 0.070 | | SRS | 3.021 | 0.070 | 3.684 | 3.067 | 0.077 | 3.080 | 3.006 | 0.083 | 3.952 | RSS | 3.001 | 0.019 | 3.051 | 0.025 | 2.993 | 0.021 | 15 | | SRS | 1.098 | 0.230 | 7.419 | 1.081 | 0.238 | 6.611 | 1.115 | 0.272 | 8.000 | RSS | 1.019 | 0.031 | 0.996 | 0.036 | 1.023 | 0.034 | | SRS | 3.019 | 0.047 | 5.222 | 3.054 | 0.051 | 3.923 | 3.020 | 0.059 | 5.900 | RSS | 3.007 | 0.009 | 3.042 | 0.013 | 3.002 | 0.010 |
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