Research Article

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

Table 2

Estimated values for shape parameter .


0.50.40.81.04541.04770.85641.02810.71591.15910.70620.89730.80180.8057
0.5 0.41.21.35141.35271.10731.07961.14061.14071.12721.19401.04601.4267
0.51.40.80.65860.63890.82421.06411.08820.74520.83990.84430.97550.6734
250.51.41.21.43251.45351.06761.33251.10031.26311.10171.58791.71191.4090
1.50.40.80.83480.83720.92520.78720.82330.75910.69150.82141.06810.7146
1.50.41.21.50221.50661.64411.14651.08431.27170.93451.06991.36951.1185
1.51.40.80.76190.74790.95790.93261.09250.72010.79070.85200.93340.8799
1.51.41.21.24741.26341.11920.98481.39291.40660.91871.79351.33341.3515

0.50.40.80.95570.95390.70570.83520.73320.85191.00290.96830.82780.8372
0.50.41.20.97280.97221.12391.30971.11011.29721.38731.26621.34321.1437
0.51.40.80.81720.81220.95691.14370.82580.68180.65810.88040.74420.9061
500.51.41.21.10711.10991.05021.07611.24631.42980.96021.33991.08621.2761
1.50.40.80.87290.87320.82800.75850.84720.84790.80130.64050.80360.7602
1.50.41.20.97230.97181.27331.12561.01641.09701.25921.20691.40581.4118
1.51.40.80.92680.92520.68710.82290.97270.78010.82410.81630.88871.9312
1.51.41.21.51801.53111.38201.26741.17531.09141.15211.08091.15951.7258

0.50.40.80.82780.82780.86950.82950.88080.88040.86520.88720.76760.8867
0.50.41.21.45111.45161.06801.17491.18311.07431.18961.19031.22741.2721
0.51.40.80.85870.85700.86630.85600.76690.75130.78850.68680.90700.7282
1000.51.41.21.28651.29011.17391.20181.20871.19951.03431.20061.15111.1779
1.50.40.80.80420.80310.83660.76960.84780.75760.86950.77140.80570.7576
1.50.41.21.23981.24011.18901.45741.16821.15261.19271.11731.32741.1577
1.51.40.80.79710.79390.76080.78070.83890.71860.76930.75960.73850.9887
1.51.41.21.10831.10991.24351.11131.40721.13711.11971.14481.26521.1783

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