On the Mean Residual Life Function and Stress and Strength Analysis under Different Loss Function for Lindley Distribution

Table 9

Bayes estimator and posterior risk of stress and strength parameter under SELF.

𝑛	UP			JP
𝑅	0.026364	0.0604	0.998771	0.026364	0.0604	0.998771
20, 40	0.028511 (0.000077)	0.064361 (0.000288)	0.998763 (1.44921∗10^−7)	0.027985 (0.000078)	0.063217 (0.000282)	0.998728 (1.40568∗10^−7)
60, 80	0.027029 (0.000030)	0.061592 (0.000109)	0.998756 (6.22876∗10^−8)	0.026962 (0.000030)	0.061386 (0.000109)	0.998749 (6.19239∗10^−8)
80, 100	0.026832 (0.000023)	0.061133 (0.000084)	0.998754 (4.89937∗10^−8)	0.026797 (0.000023)	0.061068 (0.000084)	0.998749 (4.88093∗10^−8)
80, 60	0.026663 (0.000029)	0.060702 (0.000105)	0.998735 (6.74031∗10^−8)	0.026796 (0.000029)	0.061019 (0.000105)	0.998738 (6.75851∗10^−8)
100, 60	0.026575 (0.000026)	0.060422 (0.000095)	0.998733 (6.31669∗10^−8)	0.026766 (0.000026)	0.060865 (0.000095)	0.99874 (6.31061∗10^−8)
𝑛	LMP			GP
𝑅	0.026364	0.0604	0.998771	0.026364	0.0604	0.998771
20, 40	0.028581 (0.000076)	0.064860 (0.000281)	0.99874 (1.40336∗10^−7)	0.027987 (0.000078)	0.063762 (0.000280)	0.99871 (1.37326∗10^−7)
60, 80	0.027051 (0.000029)	0.061760 (0.000109)	0.998748 (6.18727∗10^−8)	0.026956 (0.000029)	0.061625 (0.000108)	0.998743 (6.1525∗10^−8)
80, 100	0.026848 (0.000022)	0.061323 (0.000083)	0.998748 (4.87444∗10^−8)	0.026792 (0.000022)	0.061255 (0.000083)	0.998745 (4.85798∗10^−8)
80, 60	0.026676 (0.000028)	0.061014 (0.000105)	0.998729 (6.69801∗10^−8)	0.026781 (0.000028)	0.061306 (0.000104)	0.998733 (6.73044∗10^−8)
100, 60	0.026585 (0.000026)	0.060732 (0.000094)	0.998728 (6.28193∗10^−8)	0.026748 (0.000026)	0.061143 (0.000094)	0.998736 (6.23054∗10^−8)