Research Article

Classical and Bayesian Estimation of the Inverse Weibull Distribution: Using Progressive Type-I Censoring Scheme

Table 3

Numerical results of AVEs, ACIs, MSErs, ALs, and CPrs (in %) for and under number of stages .

Parm.MLLEBayesian: MCMCBayesian: Lindley
AVE MSErACI AL/CPrAVE MSErHPD AL/CPrAVE MSEr

0252.110(1.352, 2.869)2.086(1.412, 2.891)2.072
0.1581.517/96.300.1541.479/97.300.265
1.600(0.958, 2.241)1.588(0.946, 2.310)1.501
0.1511.283/94.400.1441.364/95.900.575
502.070(1.550, 2.590)2.058(1.560, 2.586)2.062
0.0791.040/96.200.0771.026/96.700.104
1.529(1.101, 1.956)1.522(1.141, 1.993)1.505
0.0510.855/96.200.0490.852/97.900.092
1002.024(1.664, 2.383)2.017(1.698, 2.415)2.020
0.0340.719/96.100.0330.717/97.500.039
1.521(1.221, 1.821)1.518(1.217, 1.827)1.516
0.0250.600/95.800.0250.610/96.600.032

25252.156(1.275, 3.038)2.124(1.331, 3.074)2.099
0.2281.763/95.500.2181.743/96.500.412
1.596(0.930, 2.261)1.590(0.931, 2.268)1.412
0.2061.331/94.700.2111.337/95.600.936
502.070(1.498, 2.642)2.055(1.541, 2.668)2.057
0.0931.144/96.100.0901.127/97.000.127
1.542(1.100, 1.983)1.537(1.105, 1.977)1.512
0.0550.883/96.600.0540.872/96.700.119
1002.034(1.645, 2.423)2.026(1.662, 2.427)2.030
0.0400.778/96.300.0400.765/96.800.047
1.523(1.217, 1.828)1.521(1.245, 1.840)1.517
0.0250.611/97.100.0240.595/97.700.035
50252.178(1.217, 3.139)2.138(1.311, 3.250)2.076
0.3091.922/94.400.2951.939/97.000.575
1.594(0.915, 2.272)1.590(0.876, 2.263)1.242
0.1931.357/95.600.1901.387/95.703.589
502.101(1.477, 2.724)2.082(1.504, 2.775)2.084
0.1191.247/95.700.1151.271/97.400.166
1.541(1.091, 1.992)1.539(1.041, 2.019)1.493
0.0640.901/94.800.0630.978/95.800.175
1002.034(1.615, 2.452)2.025(1.637, 2.471)2.028
0.0480.836/96.200.0470.833/97.300.058
1.516(1.206, 1.827)1.515(1.228, 1.851)1.506
0.0270.621/96.100.0270.622/97.200.043

Note: Parm.: parameter, AV: average, and ACI: asymptotic confidence interval.