Research Article

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

Table 4

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

0251.072(0.688, 1.456)1.060(0.644, 1.455)1.013
0.0510.768/95.200.0500.811/95.600.323
2.166(1.251, 3.081)2.148(1.285, 3.286)2.155
0.3591.830/93.800.3562.001/95.700.365
501.037(0.776, 1.299)1.031(0.764, 1.288)1.023
0.0210.523/96.200.0200.524/96.000.062
2.086(1.480, 2.692)2.075(1.502, 2.736)2.082
0.1311.212/94.600.1281.234/96.100.132
1001.011(0.830, 1.190)1.007(0.852, 1.202)1.002
0.0090.360/96.900.0080.350/98.200.016
2.025(1.615, 2.436)2.021(1.614, 2.436)2.025
0.0460.821/95.800.0460.822/96.100.047

25251.074(0.663, 1.485)1.061(0.692, 1.483)1.011
0.0520.822/96.100.0530.791/96.700.386
2.156(1.236, 3.077)2.150(1.387, 3.158)2.142
0.3561.841/95.100.3571.771/96.600.363
501.042(0.762, 1.322)1.035(0.760, 1.310)1.025
0.0220.560/96.900.0210.550/96.900.079
2.090(1.476, 2.703)2.081(1.491, 2.813)2.085
0.1301.227/94.300.1271.322/97.100.133
1001.013(0.820, 1.199)1.006(0.831, 1.193)0.999
0.0100.379/96.500.0090.362/96.600.019
2.029(1.615, 2.443)2.024(1.608, 2.435)2.028
0.0460.828/96.500.0450.827/96.600.047

50251.086(0.637, 1.535)1.071(0.657, 1.649)0.964
0.0710.898/94.100.0700.992/97.000.756
2.153(1.225, 3.082)2.140(1.316, 3.179)2.132
0.3031.857/95.000.3011.863/96.200.322
501.034(0.739, 1.329)1.026(0.744, 1.339)0.994
0.0250.590/95.800.0250.595/96.900.122
2.078(1.464, 2.693)2.070(1.446, 2.738)2.072
0.1271.229/95.200.1241.292/96.300.132
1001.014(0.813, 1.215)1.010(0.814, 1.211)1.002
0.0100.402/96.900.0100.397/96.700.024
2.036(1.616, 2.455)2.031(1.594, 2.455)2.034
0.0540.839/95.300.0530.861/95.400.055

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