Research Article
Bayesian Estimation of Two-Parameter Weibull Distribution Using Extension of Jeffreys' Prior Information with Three Loss Functions
Table 1
Estimated values for scale parameter .
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| | 0.5 | 0.4 | 0.8 | 0.4481 | 0.4506 | 0.7577 | 0.2982 | 0.2878 | 0.5216 | 0.2927 | 0.4086 | 0.6929 | 0.3945 | | 0.5 | 0.4 | 1.2 | 0.7224 | 0.7274 | 0.5663 | 0.3964 | 0.5016 | 0.3636 | 0.4649 | 0.5314 | 0.5381 | 0.4828 | | 0.5 | 1.4 | 0.8 | 0.3179 | 0.4793 | 0.5134 | 0.6203 | 0.5109 | 0.6936 | 0.5456 | 0.5601 | 0.6574 | 0.6406 | 25 | 0.5 | 1.4 | 1.2 | 0.4688 | 0.4876 | 0.5355 | 0.6270 | 0.6468 | 0.4243 | 0.5028 | 0.7379 | 0.6546 | 0.5319 | 1.5 | 0.4 | 0.8 | 1.9488 | 1.9168 | 1.3999 | 2.0563 | 1.4683 | 1.1745 | 1.4409 | 2.1533 | 1.8531 | 1.7247 | | 1.5 | 0.4 | 1.2 | 1.8768 | 1.8859 | 1.4652 | 1.3522 | 1.9847 | 1.5382 | 0.9764 | 1.2448 | 1.6580 | 1.3147 | | 1.5 | 1.4 | 0.8 | 1.0121 | 1.0121 | 2.4225 | 1.5837 | 1.2562 | 1.7038 | 1.8135 | 1.3075 | 1.8037 | 1.4071 | | 1.5 | 1.4 | 1.2 | 1.4759 | 1.4626 | 1.4955 | 1.4546 | 1.2494 | 1.6919 | 1.4134 | 1.4910 | 1.2567 | 1.7653 |
| | 0.5 | 0.4 | 0.8 | 0.6308 | 0.6319 | 0.4218 | 0.6790 | 0.4096 | 0.6027 | 0.5996 | 0.5046 | 0.5296 | 0.3645 | | 0.5 | 0.4 | 1.2 | 1.2471 | 0.4031 | 1.5041 | 1.4592 | 1.4338 | 1.5799 | 1.1694 | 1.8736 | 1.6057 | 1.4472 | | 0.5 | 1.4 | 0.8 | 0.6095 | 0.6364 | 0.6759 | 0.3801 | 0.4645 | 0.6033 | 0.4195 | 0.6020 | 0.4212 | 0.4390 | 50 | 0.5 | 1.4 | 1.2 | 0.5483 | 0.5676 | 0.7103 | 0.5264 | 0.6535 | 0.4715 | 0.5167 | 0.5348 | 0.5112 | 0.4293 | 1.5 | 0.4 | 0.8 | 2.1209 | 2.1008 | 1.5653 | 1.3988 | 1.4286 | 1.6753 | 1.1195 | 1.2420 | 1.3932 | 1.4784 | | 1.5 | 0.4 | 1.2 | 1.2471 | 1.2447 | 1.5041 | 1.4592 | 1.4338 | 1.5799 | 1.1694 | 1.8736 | 1.6057 | 1.4472 | | 1.5 | 1.4 | 0.8 | 1.3866 | 1.3658 | 1.3538 | 1.0390 | 1.4067 | 1.1281 | 1.5264 | 1.5330 | 1.3423 | 1.9056 | | 1.5 | 1.4 | 1.2 | 1.6538 | 1.6539 | 2.0394 | 1.1159 | 1.5960 | 1.8360 | 1.1559 | 1.8099 | 1.4305 | 1.5092 |
| | 0.5 | 0.4 | 0.8 | 0.4156 | 0.4163 | 0.4656 | 0.5054 | 0.3940 | 0.5870 | 0.5498 | 0.4971 | 0.5169 | 0.4530 | | 0.5 | 0.4 | 1.2 | 0.5032 | 0.5037 | 0.5125 | 0.5192 | 0.5725 | 0.4626 | 0.4840 | 0.4821 | 0.5422 | 0.5204 | | 0.5 | 1.4 | 0.8 | 0.4974 | 0.5147 | 0.4776 | 0.5799 | 0.4369 | 0.4692 | 0.5693 | 0.4846 | 0.4067 | 0.4844 | 100 | 0.5 | 1.4 | 1.2 | 0.4633 | 0.4699 | 0.4664 | 0.5334 | 0.4638 | 0.5310 | 0.4300 | 0.4883 | 0.4595 | 0.4384 | 1.5 | 0.4 | 0.8 | 1.6509 | 1.6475 | 1.5147 | 1.4651 | 1.5878 | 1.3966 | 1.5910 | 1.5514 | 1.3278 | 1.4129 | | 1.5 | 0.4 | 1.2 | 1.6169 | 1.6186 | 1.3703 | 1.3680 | 1.5696 | 1.4485 | 1.4048 | 1.3890 | 1.5579 | 1.5339 | | 1.5 | 1.4 | 0.8 | 1.1622 | 1.1578 | 1.2926 | 1.6746 | 1.5554 | 1.3959 | 1.4872 | 1.6832 | 1.1781 | 1.5639 | | 1.5 | 1.4 | 1.2 | 1.4098 | 1.4038 | 1.3709 | 1.4442 | 1.5666 | 1.6591 | 1.5686 | 1.5005 | 1.7630 | 1.2944 |
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ML: maximum likelihood, BG: general entropy loss function, BL: LINEX loss function, BS: squared error loss function.
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