Research Article

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

Table 3

Mean squared error for .


0.50.40.80.01690.01700.01800.01920.01770.01730.02040.01910.01680.0174
0.50.41.20.00780.00790.00820.00820.00790.00790.00830.00830.00770.0082
0.51.40.80.01730.01720.01810.01510.01530.01450.01990.02000.01450.0135
250.51.41.20.00770.00740.00810.00780.00700.00680.00820.00840.00720.0070
1.50.40.80.16460.15290.18260.16500.15030.16400.24270.18250.13060.1617
1.50.41.20.06970.06970.07560.07420.06900.07260.08210.07720.06950.0719
1.51.40.80.16110.12650.15350.14470.13520.14190.18680.15790.11560.1358
1.51.41.20.07050.06730.07030.07000.06900.06970.07510.06750.06960.0705

0.50.40.80.00860.00870.00890.00870.00860.00850.00950.00930.00840.0085
0.50.41.20.00380.00380.00390.00400.00400.00400.00400.00410.00380.0039
0.51.40.80.00850.00820.00900.00790.00820.00790.00890.00940.00740.0069
500.51.41.20.00380.00360.00380.00390.00380.00360.00410.00410.00360.0038
1.50.40.80.07710.07430.08230.08060.07960.07820.09040.08340.07100.0808
1.50.41.20.03550.03550.03720.03670.03590.03610.03890.03520.03560.0360
1.51.40.80.07770.06920.07850.07680.07070.07280.08310.07530.06680.0720
1.51.41.20.03370.03310.03580.03420.03420.03460.03570.03510.03460.0342

0.50.40.80.00420.00420.00430.00420.00450.00440.00430.00450.00420.0043
0.50.41.20.00180.00190.00200.00190.00190.00190.00190.00190.00190.0019
0.51.40.80.00440.00430.00420.00420.00430.00390.00440.00430.00420.0041
1000.51.41.20.00200.00190.00190.00190.00180.00190.00190.00180.00180.0019
1.50.40.80.03900.03830.04080.04050.03780.03890.04200.04060.03740.0379
1.50.41.20.01690.01690.01780.01780.01750.01740.01750.01850.01730.0175
1.51.40.80.03890.03670.03830.03840.03710.03660.04080.03920.03610.0383
1.51.41.20.01620.01610.01740.01790.01710.01750.01720.01700.01750.0166

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