Research Article

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

Table 1

Estimated values for scale parameter .


0.50.40.80.44810.45060.75770.29820.28780.52160.29270.40860.69290.3945
0.50.41.20.72240.72740.56630.39640.50160.36360.46490.53140.53810.4828
0.51.40.80.31790.47930.51340.62030.51090.69360.54560.56010.65740.6406
250.51.41.20.46880.48760.53550.62700.64680.42430.50280.73790.65460.5319
1.50.40.81.94881.91681.39992.05631.46831.17451.44092.15331.85311.7247
1.50.41.21.87681.88591.46521.35221.98471.53820.97641.24481.65801.3147
1.51.40.81.01211.01212.42251.58371.25621.70381.81351.30751.80371.4071
1.51.41.21.47591.46261.49551.45461.24941.69191.41341.49101.25671.7653

0.50.40.80.63080.63190.42180.67900.40960.60270.59960.50460.52960.3645
0.50.41.21.24710.40311.50411.45921.43381.57991.16941.87361.60571.4472
0.51.40.80.60950.63640.67590.38010.46450.60330.41950.60200.42120.4390
500.51.41.20.54830.56760.71030.52640.65350.47150.51670.53480.51120.4293
1.50.40.82.12092.10081.56531.39881.42861.67531.11951.24201.39321.4784
1.50.41.21.24711.24471.50411.45921.43381.57991.16941.87361.60571.4472
1.51.40.81.38661.36581.35381.03901.40671.12811.52641.53301.34231.9056
1.51.41.21.65381.65392.03941.11591.59601.83601.15591.80991.43051.5092

0.50.40.80.41560.41630.46560.50540.39400.58700.54980.49710.51690.4530
0.50.41.20.50320.50370.51250.51920.57250.46260.48400.48210.54220.5204
0.51.40.80.49740.51470.47760.57990.43690.46920.56930.48460.40670.4844
1000.51.41.20.46330.46990.46640.53340.46380.53100.43000.48830.45950.4384
1.50.40.81.65091.64751.51471.46511.58781.39661.59101.55141.32781.4129
1.50.41.21.61691.61861.37031.36801.56961.44851.40481.38901.55791.5339
1.51.40.81.16221.15781.29261.67461.55541.39591.48721.68321.17811.5639
1.51.41.21.40981.40381.37091.44421.56661.65911.56861.50051.76301.2944

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