Research Article

[Retracted] A New Four-Parameter Inverse Weibull Model: Statistical Properties and Applications

Table 2

Numerous numerical values of MLEs and C1 of the TIITLGINW model.

nParMLEC1MLEC1

Set 1: (0.5, 0.5, 0.5, 0.5)Set 2: (0.5, 0.5, 0.5, 0.5)

300.48700.00710.49910.0042
0.47110.02121.57400.2106
0.46640.01630.53860.0424
0.37430.03290.89780.5204

500.52170.00310.49170.0030
0.48620.01021.56090.1372
0.50950.00710.50540.0227
0.38710.02450.77900.3332

2000.50070.00110.50210.0016
0.48890.00331.54400.0447
0.50780.00270.51550.0117
0.40730.01270.71200.0856
Set 3: (0.5, 0.5, 0.5, 0.3)Set 4: (0.5, 1.5, 0.5, 0.3)

300.54100.01620.51180.0136
0.55250.05121.82930.6032
0.54550.03321.00482.5698
0.43920.12880.45040.2833

500.55260.00970.52800.0082
0.54780.02761.74700.2578
0.55510.01730.66030.1249
0.39530.03910.35320.0251

2000.48490.00120.48090.0017
0.44050.00611.64740.0560
0.47130.00280.46490.0086
0.29320.00280.25480.0042
Set 5: (0.3, 0.8, 0.3, 0.5)Set 6: (0.3, 0.5, 0.3, 0.3)

300.29610.00300.35160.0106
0.89370.26630.47910.0338
0.35630.03620.41230.0572
0.59520.53130.17350.6286

500.28880.00100.30490.0021
0.63980.04700.38000.0218
0.27080.00480.30280.0061
0.26290.06330.19010.4063

2000.30480.00050.30410.0003
0.73410.00920.39340.0131
0.31220.00170.30940.0014
0.31840.03540.41730.0356