Research Article

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

Table 6

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

0251.054(0.675, 1.432)1.042(0.695, 1.435)0.952
0.0420.757/95.900.0410.740/97.000.836
2.170(1.259, 3.080)2.151(1.409, 3.194)2.164
0.2711.821/94.600.2621.785/96.800.280
501.027(0.768, 1.287)1.021(0.760, 1.295)1.005
0.0190.519/95.300.0190.535/96.200.061
2.072(1.471, 2.673)2.063(1.492, 2.710)2.070
0.1171.202/94.600.1151.218/96.200.120
1001.017(0.836, 1.197)1.014(0.842, 1.196)1.011
0.0090.361/96.900.0080.353/97.200.016
2.048(1.632, 2.464)2.043(1.640, 2.456)2.047
0.0490.831/96.800.0480.815/96.800.049

25251.092(0.648, 1.537)1.077(0.687, 1.621)1.002
0.0710.889/93.100.0680.934/97.000.677
2.171(1.240, 3.103)2.157(1.299, 3.244)2.149
0.3451.863/93.700.3421.945/96.100.363
501.041(0.753, 1.328)1.033(0.757, 1.357)1.018
0.0240.575/95.500.0230.600/97.000.093
2.089(1.477, 2.702)2.079(1.472, 2.729)2.085
0.1171.225/95.300.1141.257/96.300.120
1001.019(0.824, 1.214)1.015(0.831, 1.207)1.012
0.0100.390/96.800.0090.376/96.600.020
2.036(1.620, 2.452)2.032(1.617, 2.486)2.035
0.0510.832/95.500.0510.869/96.600.052

50251.112(0.622, 1.602)1.092(0.665, 1.701)1.009
0.0910.980/93.900.0851.036/96.800.951
2.188(1.233, 3.144)2.177(1.319, 3.410)2.154
0.4101.911/93.400.4152.091/96.500.430
501.052(0.740, 1.365)1.043(0.740, 1.369)1.030
0.0310.625/95.300.0300.629/95.900.126
2.079(1.466, 2.693)2.071(1.509, 2.775)2.071
0.1201.227/94.800.1181.266/96.600.125
1001.024(0.813, 1.234)1.019(0.797, 1.231)1.014
0.0130.421/96.300.0120.434/96.600.030
2.043(1.623, 2.464)2.039(1.612, 2.480)2.041
0.0560.841/95.300.0550.868/96.600.057

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