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

Table 10

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

𝑛	UP			JP
𝑅	0.026364	0.0604	0.998771	0.026364	0.0604	0.998771
20, 40	0.025616 (0.002896)	0.059646 (0.004714)	0.998762 (1.4508∗10^−7)	0.025146 (0.002839)	0.058595 (0.004622)	0.998728 (1.40713∗10^−7)
60, 80	0.025913 (0.001116)	0.059791 (0.001801)	0.998756 (6.2361∗10^−8)	0.025849 (0.001113)	0.059591 (0.001795)	0.998749 (6.1996∗10^−8)
80, 100	0.025971 (0.000860)	0.059748 (0.001384)	0.998754 (4.90522∗10^−8)	0.025938 (0.000859)	0.059685 (0.001383)	0.998749 (4.88671∗10^−8)
80, 60	0.025571 (0.001092)	0.058960 (0.001742)	0.998735 (6.74825∗10^−8)	0.025699 (0.001091)	0.059267 (0.001742)	0.998738 (6.74652∗10^−8)
100, 60	0.025581 (0.000993)	0.058846 (0.001576)	0.998733 (6.32415∗10^−8)	0.025765 (0.009991)	0.059276 (0.001568)	0.99874 (6.31859∗10^−8)
𝑛	CP			GP
𝑅	0.026364	0.0604	0.998771	0.026364	0.0604	0.998771
20, 40	0.025679 (0.002801)	0.060117 (0.004543)	0.99874 (1.40486∗10^−7)	0.025148 (0.002839)	0.059091 (0.004571)	0.99871 (1.37462∗10^−7)
60, 80	0.025934 (0.001111)	0.059954 (0.001786)	0.998748 (6.19446∗10^−8)	0.025843 (0.001110)	0.059822 (0.001702)	0.998743 (6.15958∗10^−8)
80, 100	0.025987 (0.000860)	0.059934 (0.001382)	0.998748 (4.8802∗10^−8)	0.025933 (0.000859)	0.059869 (0.001382)	0.998745 (4.86369∗10^−8)
80, 60	0.025584 (0.001092)	0.059262 (0.001741)	0.998729 (6.70581∗10^−8)	0.025684 (0.001091)	0.059548 (0.001737)	0.998733 (6.70385∗10^−8)
100, 60	0.025591 (0.000993)	0.059146 (0.001558)	0.998728 (6.28928∗10^−8)	0.025747 (0.00990)	0.059549 (0.001553)	0.998736 (6.23805∗10^−8)