[Retracted] Bayesian Analysis of Cancer Data Using a 4-Component Exponential Mixture Model

Table 1

Simulation results of informative prior, Jeffreys’ prior, and Jeffreys' gamma prior under different loss functions when .

	Parameter	Estimate
		SELF			LINEX
		IP	JP	Jeffreys’ gamma	IP	JP	Jeffreys’ gamma
100		1.674 (0.168)	1.850 (0.259)	1.648 (0.163)	1.653 (0.021)	1.707 (0.113)	1.643 (0.001)
		2.560 (0.461)	2.625 (0.714)	2.424 (0.436)	2.429 (0.054)	2.304 (0.312)	2.360 (0.004)
		1.824 (0.279)	2.019 (0.751)	1.686 (0.254)	1.742 (0.033)	1.737 (0.312)	1.673 (0.002)
		2.543 (0.335)	2.601 (0.453)	2.491 (0.326)	2.472 (0.041)	2.392 (0.207)	2.441 (0.003)
		0.338 (0.002)	0.326 (0.0028)	0.332 (0.0027)	0.332 (0.0013)	0.318 (0.009)	0.308 (0.035)
		0.204 (0.0019)	0.209 (0.0020)	0.206 (0.0018)	0.203 (0.0004)	0.205 (0.003)	0.200 (0.009)
		0.152 (0.0017)	0.1610 (0.0019)	0.158 (0.0016)	0.152 (0.0003)	0.158 (0.002)	0.155 (0.005)
200		1.647 (0.097)	1.712 (0.121)	1.646 (0.095)	1.623 (0.011)	1.654 (0.055)	1.623 (0.001)
		2.530 (0.285)	2.559 (0.365)	2.472 (0.279)	2.455 (0.034)	2.385 (0.169)	2.434 (0.003)
		1.791 (0.203)	1.875 (0.366)	1.709 (0.191)	1.755 (0.024)	1.700 (0.161)	1.697 (0.002)
		2.521 (0.199)	2.572 (0.237)	2.499 (0.195)	2.466 (0.024)	2.455 (0.112)	2.497 (0.002)
		0.339 (0.001)	0.336 (0.0015)	0.336 (0.0015)	0.336 (0.0011)	0.326 (0.009)	0.313 (0.0337)
		0.203 (0.001)	0.205 (0.0010)	0.204 (0.0009)	0.203 (0.0003)	0.203 (0.002)	0.199 (0.0076)
		0.153 (0.000)	0.156 (0.0010)	0.157 (0.0009)	0.152 (0.0002)	0.155 (0.001)	0.153 (0.0039)
300		1.616 (0.065)	1.643 (0.078)	1.618 (0.066)	1.582 (0.008)	1.621 (0.037)	1.609 (0.0007)
		2.503 (0.205)	2.505 (0.244)	2.471 (0.203)	2.485 (0.025)	2.399 (0.118)	2.438 (0.0022)
		1.795 (0.163)	1.821 (0.248)	1.713 (0.154)	1.747 (0.020)	1.707 (0.114)	1.709 (0.0017)
		2.519 (0.142)	2.563 (0.162)	2.496 (0.140)	2.471 (0.017)	2.450 (0.077)	2.467 (0.0015)
		0.341 (0.001)	0.338 (0.0011)	0.338 (0.0010)	0.339 (0.0011)	0.328 (0.009)	0.315 (0.0337)
		0.203 (0.000)	0.204 (0.0006)	0.203 (0.0007)	0.201 (0.0002)	0.202 (0.002)	0.1993 (0.0070)
		0.152 (0.000)	0.156 (0.0007)	0.155 (0.0006)	0.152 (0.0001)	0.155 (0.001)	0.153 (0.0039)