Research Article

Bayesian Estimation of Two-Parameter Weibull Distribution Using Extension of Jeffreys' Prior Information with Three Loss Functions

Table 6

Absolute Bias values for .


0.50.40.80.11350.11040.10840.10910.11330.11530.10480.10820.11340.1149
0.50.41.20.17080.16520.15680.16360.16520.16630.15640.15930.17610.1678
0.51.40.80.11540.11700.11480.11310.11350.11590.11040.11180.11860.1205
250.51.41.20.17110.17360.16540.17190.17670.17710.16030.16390.18450.1779
1.50.40.80.11070.10760.10610.10920.11200.11080.10520.10470.11410.1158
1.50.41.20.17100.16560.15890.16410.16760.16770.15610.15830.17240.1708
1.51.40.80.11260.11420.11500.11000.11760.11660.10830.11130.11870.1164
1.51.41.20.16880.17160.16710.17260.17730.17490.16190.16730.18260.1775

0.50.40.80.07480.07370.07390.07320.07430.07470.07120.07250.07460.0753
0.50.41.20.11360.11180.10180.10970.11340.11400.10700.10870.11600.1115
0.51.40.80.07450.07470.07550.07660.07660.07520.07330.07550.07810.0777
500.51.41.20.11120.11190.11160.11030.11790.11100.10940.11080.11850.1137
1.50.40.80.07430.07310.07850.07210.07470.07490.07290.07240.07480.0764
1.50.41.20.11260.11050.10940.10930.11090.10980.10760.10710.11560.1105
1.51.40.80.07530.07580.07370.07580.07630.07510.07390.07390.07640.0778
1.51.41.20.11060.11140.11240.11360.11410.11530.11150.11280.11780.1180

0.50.40.80.05120.05080.05130.05070.05080.05100.05020.04960.05170.0520
0.50.41.20.07720.07650.07660.07430.07590.07810.07480.07570.07820.0771
0.51.40.80.05030.05040.05190.05120.05120.05230.05040.05070.05180.0528
1000.51.41.20.07730.07760.07770.07650.07810.07800.07700.07740.07960.0773
1.50.40.80.05040.04990.05050.05070.05120.05110.05070.05070.05080.0519
1.50.41.20.07710.07640.07680.07640.07780.07510.07580.07660.07660.0771
1.51.40.80.05240.05260.05090.05120.05170.05080.05150.05180.05240.0522
1.51.41.20.07690.07730.07580.07730.07780.07770.07590.07670.07720.0789

ML: Maximum Likelihood, BG: General Entropy Loss Function, BL: LINEX Loss Function, BS: Squared Error Loss Function.