Research Article

Bayesian Analysis of Three-Parameter Frechet Distribution with Medical Applications

Table 4

Average estimates for , , and and MSEs (within parenthesis).

Methods

25ML1.0071 (0.2034)1.9144 (0.9570)4.0738 (0.4348)
BLNP0.8881 (0.2050)1.7585 (0.9943)3.9681 (0.4455)
BGENP0.9680 (0.1688)1.7917 (0.8742)3.9883 (0.4324)
BLGP0.8870 (0.2052)1.7583 (0.9942)3.9675 (0.4457)
BGEGP0.8908 (0.1781)1.6776 (0.8783)3.8290 (0.4487)

50ML0.9946 (0.0536)1.9231 (0.2714)4.0420 (0.0857)
BLNP0.8938 (0.0613)1.7856 (0.3072)3.9522 (0.0916)
BGENP0.9701 (0.0503)1.8314 (0.2703)3.9861 (0.0854)
BLGP0.8927 (0.0615)1.7853 (0.3072)3.9515 (0.0918)
BGEGP0.8971 (0.0538)1.7163 (0.3013)3.8479 (0.1183)

70ML0.9767 (0.0263)1.9316 (0.2179)4.0576 (0.0562)
BLNP0.8854 (0.0371)1.8029 (0.2470)3.9761 (0.0567)
BGENP0.9580 (0.0259)1.8523 (0.2161)4.0141 (0.0558)
BLGP0.8842 (0.0374)1.8029 (0.2470)3.9754 (0.0567)
BGEGP0.8893 (0.0335)1.7384 (0.2461)3.8896 (0.0716)

100ML1.0186 (0.0240)2.0271 (0.1457)3.9930 (0.0470)
BLNP0.9354 (0.0263)1.9079 (0.1512)3.9188 (0.0563)
BGENP1.0034 (0.0225)1.9596 (0.1372)3.9593 (0.0405)
BLGP0.9341 (0.0264)1.9076 (0.1512)3.9181 (0.0564)
BGEGP0.9362 (0.0240)1.8451 (0.1490)3.8493 (0.0752)