Research Article

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

Table 2

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(1.349, 2.871)2.086(1.315, 2.841)2.107
0.1681.522/96.100.1641.526/96.200.313
1.605(0.960, 2.249)1.593(0.906, 2.295)1.497
0.1531.289/93.600.1481.389/95.302.667
502.057(1.539, 2.576)2.045(1.516, 2.563)2.048
0.0771.036/96.000.0761.047/96.000.101
1.536(1.106, 1.966)1.530(1.100, 1.974)1.515
0.0550.860/95.600.0530.874/95.900.091
1002.025(1.666, 2.385)2.019(1.688, 2.363)2.031
0.0320.719/97.300.0320.675/97.000.039
1.513(1.215, 1.812)1.510(1.243, 1.823)1.501
0.0230.596/96.900.0230.580/98.000.033

25252.158(1.308, 3.007)2.127(1.267, 3.025)2.102
0.2451.699/95.100.2371.758/96.000.427
1.586(0.931, 2.242)1.578(0.917, 2.249)1.385
0.1691.311/95.500.1691.331/96.101.224
502.083(1.520, 2.645)2.069(1.566, 2.702)2.072
0.0961.125/95.800.0941.136/97.700.131
1.552(1.109, 1.995)1.548(1.125, 2.068)1.529
0.0610.886/94.700.0590.943/97.100.113
1002.032(1.650, 2.413)2.025(1.607, 2.409)2.033
ā€‰0.0420.763/96.000.0420.802/96.300.046
1.517(1.213, 1.821)1.515(1.218, 1.810)1.523
0.0280.608/96.600.0270.592/96.300.037

50252.175(1.271, 3.078)2.141(1.369, 2.995)2.108
0.2391.807/96.600.2271.626/96.300.425
1.576(0.917, 2.234)1.571(0.928, 2.283)1.298
0.1401.317/94.800.1361.354/96.201.758
502.071(1.481, 2.659)2.054(1.518, 2.643)2.055
0.0901.178/96.700.0881.125/96.600.128
1.527(1.085, 1.970)1.524(1.143, 1.965)1.491
0.0530.884/96.800.0520.821/97.000.120
1002.030(1.622, 2.437)2.022(1.604, 2.408)2.031
0.0470.815/97.000.0470.804/96.500.056
1.522(1.212, 1.833)1.521(1.222, 1.864)1.519
0.0290.621/95.800.0280.642/97.200.039

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