Research Article

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

Table 5

Absolute Bias values for .


0.50.40.80.10520.10520.10740.10880.10480.10670.10940.10880.10040.1064
0.50.41.20.06840.06850.7230.07130.7140.07220.07140.07210.06820.0733
0.51.40.80.10560.10560.09810.09880.09340.08990.10620.10210.08890.0831
250.51.41.20.06990.06970.06870.06860.06620.06550.06930.06580.06620.0637
1.50.40.80.32060.32000.32520.32460.31050.31710.36900.33680.29130.3174
1.50.41.20.20870.20870.21360.21200.20210.21920.22710.21860.21460.2190
1.51.40.80.31650.31330.30500.29670.29250.30100.32540.30380.30140.3028
1.51.41.20.21040.20170.20950.21110.20190.20800.21550.20980.21050.2097

0.50.40.80.07360.07360.07380.07630.07360.07410.07540.07620.07230.0738
0.50.41.20.04950.04950.04910.05020.05010.04980.05070.05090.04990.0499
0.51.40.80.07560.07540.06980.06950.06870.06770.07280.07380.06620.0663
500.51.41.20.04930.04710.04900.04850.04900.04810.04920.04950.04720.0476
1.50.40.80.22020.22000.22420.22740.21740.22340.23710.22620.21380.2242
1.50.41.20.14540.14540.15100.15220.15210.15030.15600.14840.15030.1484
1.51.40.80.22470.22470.21810.21350.21630.21300.22510.22290.21080.2187
1.51.41.20.14630.14770.15160.15060.14870.15030.15310.15050.14800.1505

0.50.40.80.05220.05220.05290.05140.05220.05340.05300.05290.05220.0519
0.50.41.20.03540.03540.03530.03490.03520.03550.03610.03540.03560.0351
0.51.40.80.05220.05200.05150.05080.05050.05020.05130.05200.05020.0496
1000.51.41.20.03490.03490.03470.03490.03520.03380.03490.03480.03460.0343
1.50.40.80.15920.15880.16010.15800.15600.15780.16350.15850.15620.1580
1.50.41.20.10490.10470.10700.10670.10730.10510.10860.10630.10520.1056
1.51.40.80.15710.15710.15850.15430.15500.15490.15850.15770.15520.1566
1.51.41.20.10400.10400.10440.10450.10550.10600.10670.10470.10590.1053

ML: maximum likelihood, BG: general entropy loss function, BL: LINEX loss function, BS: squared error loss function.