Research Article
Estimation for Weibull Parameters with Generalized Progressive Hybrid Censored Data
Table 3
ABs and MSEs (within brackets) of the MLEs and Bayes estimates under generalized progressively hybrid censored data with
.
| | MLE | NIP Bayes | IP Bayes | | | | | | | | |
| 1 | 10 | 0.496 3[0.512 5] | 0.563 6[0.631 8] | 0.414 6[0.335 3] | 0.528 9[0.573 6] | 0.286 2[0.138 6] | 0.296 0[0.170 9] | 13 | 0.383 4[0.286 1] | 0.307 0[0.285 9] | 0.337 3[0.212 6] | 0.292 1[0.260 5] | 0.267 7[0.123 3] | 0.241 0[0.114 4] | 2 | 10 | 0.487 5[0.495 7] | 0.651 7[0.755 4] | 0.405 6[0.320 2] | 0.602 3[0.581 7] | 0.263 9[0.115 8] | 0.303 1[0.167 3] | 13 | 0.395 7[0.311 4] | 0.390 0[0.573 5] | 0.345 9[0.227 1] | 0.374 2[0.526 8] | 0.260 8[0.116 4] | 0.262 1[0.134 1] | 3 | 15 | 0.347 2[0.235 2] | 0.297 6[0.232 9] | 0.309 9[0.180 6] | 0.285 7[0.211 1] | 0.249 4[0.108 0] | 0.233 0[0.105 6] | 18 | 0.295 1[0.162 3] | 0.229 5[0.115 1] | 0.271 1[0.132 4] | 0.221 9[0.106 7] | 0.231 9[0.092 5] | 0.199 9[0.076 2] | 4 | 30 | 0.219 5[0.083 5] | 0.179 0[0.064 7] | 0.208 2[0.073 7] | 0.175 7[0.061 9] | 0.188 7[0.059 3] | 0.163 6[0.050 2] | 35 | 0.197 8[0.067 1] | 0.151 2[0.040 9] | 0.189 1[0.060 4] | 0.148 7[0.039 4] | 0.175 3[0.051 2] | 0.142 6[0.035 4] | 5 | 30 | 0.202 8[0.069 6] | 0.163 9[0.048 8] | 0.193 8[0.062 6] | 0.160 8[0.046 7] | 0.178 9[0.052 6] | 0.153 6[0.041 5] | 35 | 0.181 4[0.055 5] | 0.144 0[0.035 2] | 0.175 1[0.050 9] | 0.141 5[0.033 9] | 0.164 3[0.044 4] | 0.136 8[0.031 5] | 6 | 30 | 0.211 1[0.076 6] | 0.168 3[0.054 0] | 0.200 9[0.068 3] | 0.165 2[0.051 7] | 0.183 5[0.056 0] | 0.156 2[0.044 1] | 35 | 0.190 4[0.062 3] | 0.149 1[0.039 0] | 0.183 1[0.056 6] | 0.146 5[0.037 5] | 0.170 7[0.048 6] | 0.141 3[0.034 3] |
| | MLE | NIP Bayes | IP Bayes | | | | | | | | |
| 1 | 10 | 0.388 4[0.295 6] | 0.269 8[0.156 3] | 0.338 0[0.209 9] | 0.259 1[0.140 6] | 0.262 6[0.115 8] | 0.223 4[0.092 1] | 13 | 0.359 0[0.247 4] | 0.275 3[0.156 0] | 0.318 1[0.186 1] | 0.262 2[0.140 6] | 0.257 0[0.113 3] | 0.229 3[0.095 4] | 2 | 10 | 0.351 7[0.237 6] | 0.320 5[0.273 7] | 0.316 0[0.182 5] | 0.311 4[0.250 9] | 0.251 0[0.106 1] | 0.253 2[0.117 7] | 13 | 0.357 7[0.242 0] | 0.315 4[0.285 2] | 0.319 8[0.185 2] | 0.305 7[0.260 6] | 0.254 4[0.108 7] | 0.247 1[0.114 9] | 3 | 15 | 0.312 5[0.181 1] | 0.224 7[0.096 1] | 0.284 3[0.143 8] | 0.217 1[0.089 4] | 0.238 1[0.096 0] | 0.195 9[0.068 9] | 18 | 0.288 1[0.151 3] | 0.224 7[0.097 6] | 0.263 9[0.123 5] | 0.217 0[0.090 4] | 0.227 0[0.087 8] | 0.198 3[0.070 6] | 4 | 30 | 0.209 9[0.076 2] | 0.150 4[0.038 0] | 0.200 2[0.068 0] | 0.147 9[0.036 7] | 0.183 6[0.056 3] | 0.141 3[0.033 1] | 35 | 0.196 2[0.065 4] | 0.147 2[0.037 4] | 0.187 7[0.058 9] | 0.144 6[0.036 0] | 0.174 1[0.050 1] | 0.139 0[0.032 8] | 5 | 30 | 0.204 4[0.072 4] | 0.162 4[0.047 4] | 0.194 7[0.064 8] | 0.159 3[0.045 4] | 0.179 9[0.054 5] | 0.152 2[0.040 6] | 35 | 0.179 5[0.054 7] | 0.146 8[0.037 5] | 0.172 9[0.050 1] | 0.144 2[0.036 1] | 0.162 4[0.043 8] | 0.139 2[0.033 4] | 6 | 30 | 0.209 7[0.075 8] | 0.163 1[0.045 2] | 0.200 0[0.067 7] | 0.160 1[0.043 3] | 0.183 5[0.056 1] | 0.152 6[0.038 8] | 35 | 0.189 9[0.060 8] | 0.146 6[0.037 7] | 0.182 5[0.055 3] | 0.144 0[0.036 2] | 0.170 4[0.047 6] | 0.138 9[0.033 2] |
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