Research Article

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

Table 5

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

0251.074(0.690, 1.458)1.061(0.683, 1.436)1.036
0.0460.768/96.100.0440.753/95.800.264
2.161(1.251, 3.071)2.141(1.326, 3.224)2.149
0.3261.820/94.000.3171.898/96.200.333
501.027(0.768, 1.285)1.020(0.762, 1.274)1.005
0.0180.517/96.800.0180.512/96.700.059
2.075(1.473, 2.676)2.064(1.526, 2.738)2.071
0.1161.203/95.000.1131.212/96.500.117
1001.016(0.835, 1.196)1.013(0.835, 1.182)1.010
0.0080.361/96.600.0070.347/96.300.015
2.027(1.616, 2.437)2.021(1.633, 2.465)2.025
0.0480.821/95.600.0470.832/96.900.048

25251.089(0.661, 1.516)1.074(0.674, 1.538)1.032
0.0600.855/94.900.0570.864/96.100.475
2.166(1.241, 3.091)2.150(1.359, 3.343)2.145
0.3341.850/94.100.3281.984/97.100.351
501.036(0.756, 1.316)1.029(0.744, 1.310)1.012
0.0220.560/95.900.0210.566/96.400.083
2.070(1.465, 2.675)2.060(1.498, 2.777)2.064
0.1181.210/94.700.1151.279/96.600.121
1001.015(0.824, 1.206)1.011(0.832, 1.238)1.005
0.0110.382/95.600.0100.406/97.600.022
2.038(1.622, 2.455)2.034(1.608, 2.441)2.037
0.0510.833/95.900.0500.833/96.000.052

50251.083(0.630, 1.536)1.066(0.630, 1.523)0.976
0.0660.906/95.600.0630.893/96.000.741
2.173(1.232, 3.113)2.159(1.288, 3.363)2.148
0.3831.881/93.700.3812.075/95.800.396
501.040(0.744, 1.336)1.031(0.742, 1.348)1.010
0.0260.592/95.800.0250.606/97.200.110
2.066(1.459, 2.673)2.057(1.498, 2.721)2.060
0.1101.214/95.000.1081.224/96.100.115
1001.019(0.814, 1.223)1.014(0.806, 1.216)1.009
0.0110.409/96.600.0120.410/96.600.025
2.030(1.613, 2.447)2.025(1.646, 2.510)2.028
0.0510.834/95.100.0540.864/97.600.053

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