Research Article
[Retracted] Statistical Inferences of Burr XII Lifetime Models under Joint Type-1 Competing Risks Samples
Table 7
The ME and MSEs of ML, boot, and Bayes methods under
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| | | | | | | | ME | MSE | ME | MSE | ME | MSE | ME | MSE | ME | MSE | ME | MSE |
| (0.1, 30, 30) | | 1.234 | 0.234 | 2.421 | 0.421 | 3.342 | 0.645 | 2.324 | 0.402 | 2.842 | 0.495 | 1.321 | 0.255 | | 1.335 | 0.238 | 2.542 | 0.426 | 3.452 | 0.648 | 2.426 | 0.405 | 2.890 | 0.498 | 1.435 | 0.291 | | 1.229 | 0.233 | 2.418 | 0.420 | 3.302 | 0.644 | 2.314 | 0.400 | 2.834 | 0.493 | 1.313 | 0.243 | | 1.198 | 0.224 | 2.370 | 0.411 | 3.201 | 0.634 | 2.280 | 0.390 | 2.790 | 0.484 | 1.280 | 0.242 |
| (0.1, 50, 30) | | 1.217 | 0.217 | 2.408 | 0.403 | 3.264 | 0.627 | 2.305 | 0.387 | 2.829 | 0.477 | 1.304 | 0.237 | | 1.319 | 0.221 | 2.528 | 0.409 | 3.401 | 0.621 | 2.407 | 0.391 | 2.875 | 0.481 | 1.421 | 0.278 | | 1.208 | 0.215 | 2.404 | 0.401 | 3.255 | 0.627 | 2.293 | 0.385 | 2.817 | 0.472 | 1.300 | 0.225 | | 1.181 | 0.209 | 2.367 | 0.382 | 3.185 | 0.613 | 2.261 | 0.369 | 2.777 | 0.468 | 1.266 | 0.222 |
| (0.1, 40, 60) | | 1.223 | 0.222 | 2.365 | 0.367 | 3.272 | 0.631 | 2.314 | 0.395 | 2.780 | 0.441 | 1.285 | 0.209 | | 1.325 | 0.227 | 2.451 | 0.371 | 3.415 | 0.627 | 2.412 | 0.397 | 2.831 | 0.449 | 1.370 | 0.251 | | 1.214 | 0.218 | 2.361 | 0.362 | 3.267 | 0.635 | 2.299 | 0.388 | 2.777 | 0.447 | 1.275 | 0.201 | | 1.193 | 0.213 | 2.322 | 0.348 | 3.192 | 0.621 | 2.274 | 0.374 | 2.731 | 0.415 | 1.214 | 0.191 |
| (0.1, 80, 80) | | 1.175 | 0.187 | 2.314 | 0.328 | 3.231 | 0.561 | 2.272 | 0.351 | 2.735 | 0.407 | 1.251 | 0.172 | | 1.286 | 0.192 | 2.407 | 0.347 | 3.370 | 0.588 | 2.350 | 0.362 | 2.800 | 0.415 | 1.361 | 0.199 | | 1.269 | 0.179 | 2.321 | 0.327 | 3.229 | 0.564 | 2.264 | 0.347 | 2.722 | 0.401 | 1.254 | 0.162 | | 1.144 | 0.152 | 2.279 | 0.301 | 3.151 | 0.541 | 2.217 | 0.322 | 2.680 | 0.362 | 1.182 | 0.127 |
| (0.5, 30, 30) | | 1.211 | 0.214 | 2.407 | 0.401 | 3.324 | 0.615 | 2.285 | 0.284 | 2.815 | 0.476 | 1.309 | 0.241 | | 1.310 | 0.217 | 2.531 | 0.409 | 3.428 | 0.619 | 2.404 | 0.292 | 2.867 | 0.481 | 1.424 | 0.279 | | 1.203 | 0.212 | 2.400 | 0.397 | 3.287 | 0.617 | 2.289 | 0.271 | 2.807 | 0.482 | 1.304 | 0.231 | | 1.175 | 0.205 | 2.356 | 0.394 | 3.180 | 0.601 | 2.260 | 0.362 | 2.766 | 0.461 | 1.271 | 0.228 |
| (0.5, 50, 30) | | 1.200 | 0.200 | 2.397 | 0.385 | 3.244 | 0.600 | 2.284 | 0.365 | 2.801 | 0.455 | 1.292 | 0.222 | | 1.302 | 0.204 | 2.510 | 0.397 | 3.381 | 0.593 | 2.391 | 0.373 | 2.849 | 0.463 | 1.409 | 0.266 | | 1.185 | 0.197 | 2.389 | 0.387 | 3.237 | 0.601 | 2.273 | 0.367 | 2.790 | 0.454 | 1.291 | 0.210 | | 1.160 | 0.192 | 2.351 | 0.362 | 3.161 | 0.586 | 2.244 | 0.351 | 2.751 | 0.449 | 1.252 | 0.214 |
| (0.5, 40, 60) | | 1.207 | 0.201 | 2.347 | 0.349 | 3.251 | 0.603 | 2.292 | 0.376 | 2.751 | 0.424 | 1.252 | 0.189 | | 1.303 | 0.204 | 2.438 | 0.355 | 3.400 | 0.601 | 2.394 | 0.380 | 2.802 | 0.430 | 1.358 | 0.238 | | 1.191 | 0.200 | 2.347 | 0.341 | 3.244 | 0.607 | 2.281 | 0.369 | 2.748 | 0.418 | 1.263 | 0.187 | | 1.181 | 0.192 | 2.307 | 0.329 | 3.175 | 0.590 | 2.255 | 0.359 | 2.703 | 0.400 | 1.200 | 0.177 |
| (0.5, 80, 80) | | 1.162 | 0.170 | 2.300 | 0.309 | 3.214 | 0.534 | 2.249 | 0.335 | 2.708 | 0.389 | 1.239 | 0.160 | | 1.271 | 0.173 | 2.394 | 0.328 | 3.352 | 0.559 | 2.329 | 0.347 | 2.771 | 0.401 | 1.350 | 0.184 | | 1.252 | 0.158 | 2.302 | 0.307 | 3.207 | 0.537 | 2.241 | 0.322 | 2.700 | 0.381 | 1.241 | 0.151 | | 1.129 | 0.134 | 2.262 | 0.282 | 3.133 | 0.515 | 2.200 | 0.301 | 2.653 | 0.341 | 1.170 | 0.114 |
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