Research Article
Inferences for Weibull Fréchet Distribution Using a Bayesian and Non-Bayesian Methods on Gastric Cancer Survival Times
Table 15
Results obtained by both MLE and Bayes MCMC estimation.
| Parameter | MLEs | | BSEL | BLINEX | | | |
| | 0.3254 | 0 | 0.3267 | 0.3476 | 0.3325 | 0.3181 | 0.3 | 0.3085 | 0.2975 | 0.2956 | 0.2955 | 0.6 | 0.2094 | 0.2057 | 0.2007 | 0.2916 | 0.9 | 0.1922 | 0.1922 | 0.1818 | 0.1741 |
| | 2.5480 | 0 | 2.6375 | 2.7027 | 2.6328 | 2.5691 | 0.3 | 2.5107 | 2.5684 | 2.5074 | 2.4561 | 0.6 | 2.3839 | 2.4245 | 2.382 | 2.3491 | 0.9 | 2.2571 | 2.2693 | 2.2566 | 2.2475 |
| | 0.6245 | 0 | 0.7039 | 0.7043 | 0.7039 | 0.7035 | 0.3 | 0.5853 | 0.5935 | 0.5853 | 0.5766 | 0.6 | 0.4667 | 0.4763 | 0.4667 | 0.4573 | 0.9 | 0.3481 | 0.3519 | 0.3481 | 0.3447 |
| | 1.3022 | 0 | 1.5828 | 1.5951 | 1.5828 | 1.5826 | 0.3 | 1.4082 | 1.4984 | 1.4983 | 1.4081 | 0.6 | 1.3637 | 1.3739 | 1.3638 | 1.3635 | 0.9 | 1.2291 | 1.2292 | 1.2291 | 1.2290 |
| | 0.8038 | 0 | 0.8245 | 0.8252 | 0.8247 | 0.8241 | 0.3 | 0.6888 | 0.8236 | 0.8237 | 0.8233 | 0.6 | 0.6969 | 0.8227 | 0.8228 | 0.8225 | 0.9 | 0.7049 | 0.8218 | 0.8218 | 0.8217 |
| | 0.3269 | 0 | 0.2915 | 0.2913 | 0.2904 | 0.2896 | 0.3 | 0.2966 | 0.2965 | 0.2959 | 0.2953 | 0.6 | 0.3017 | 0.3017 | 0.3013 | 0.3010 | 0.9 | 0.3069 | 0.3068 | 0.3068 | 0.3067 |
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