Research Article

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

Table 1

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

0252.102(1.344, 2.861)2.078(1.348, 2.827)2.062
0.1591.517/96.600.1551.479/96.600.278
1.590(0.952, 2.228)1.579(1.003, 2.329)1.504
0.1481.276/94.100.1421.326/96.100.387
502.053(1.536, 2.570)2.040(1.536, 2.584)2.042
0.0781.034/95.300.0771.048/96.100.102
1.541(1.109, 1.972)1.535(1.137, 2.022)1.522
0.0540.863/95.400.0530.885/97.000.090
1002.029(1.669, 2.389)2.023(1.655, 2.363)2.026
0.0340.720/96.500.0340.708/96.200.040
1.513(1.214, 1.811)1.510(1.207, 1.807)1.507
0.0240.597/96.600.0240.600/96.800.032

25252.149(1.328, 2.970)2.123(1.383, 3.074)2.105
0.2161.642/95.500.2111.691/97.300.367
1.586(0.937, 2.235)1.577(1.005, 2.320)1.442
0.1401.298/95.100.1341.315/97.000.691
502.065(1.509, 2.621)2.051(1.572, 2.679)2.053
0.0851.112/96.000.0841.107/97.900.118
1.545(1.103, 1.987)1.541(1.159, 2.027)1.523
0.0570.884/95.200.0560.868/97.000.104
1002.028(1.647, 2.408)2.021(1.648, 2.414)2.023
0.0390.761/96.400.0390.766/96.800.047
1.522(1.217, 1.828)1.520(1.192, 1.833)1.517
0.0270.611/95.900.0260.641/96.200.037

50252.167(1.274, 3.059)2.136(1.274, 3.055)2.091
0.2661.785/95.700.2561.780/96.000.471
1.578(0.914, 2.243)1.573(0.922, 2.322)1.298
0.1531.328/94.300.1491.399/96.202.160
502.071(1.481, 2.660)2.055(1.506, 2.650)2.054
0.0971.179/96.800.0951.144/97.100.136
1.541(1.092, 1.990)1.538(1.112, 2.013)1.505
0.0570.898/96.100.0560.901/96.800.137
1002.047(1.642, 2.452)2.040(1.630, 2.450)2.044
0.0460.810/96.100.0460.820/96.500.055
1.518(1.208, 1.828)1.516(1.206, 1.825)1.510
0.0260.620/96.800.0260.619/96.800.039

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