Research Article

The Weibull Generalized Exponential Distribution with Censored Sample: Estimation and Application on Real Data

Table 4

Parameter estimation for WGED under ATIIPCS with random removals in case-2.

P(n, m)MLEMPSBayesianRelative efficiency
BiasMSEBiasMSEBiasMSERE1RE2RE3

0.25(50, 30)−0.03210.51810.04890.15660.11090.16483.35303.39011.0111
0.04450.4443−0.00610.1126−0.02370.15973.92832.78040.7078
0.33590.29870.11950.16900.32900.27231.20091.13290.9434
(50, 45)0.07750.13570.15660.22820.17710.14060.63661.18701.8646
−0.01690.0599−0.04930.0778−0.06690.05980.79041.07731.3630
0.10730.0816−0.06300.06900.10640.07741.07741.06030.9842

0.5(50, 30)0.07460.19280.13030.22600.11200.11960.89581.74991.9534
−0.02490.0886−0.04530.1194−0.04570.06570.75001.38361.8448
0.29840.21690.07210.13220.28960.20351.00641.06881.0620
(50, 45)0.04110.13870.08910.12150.12890.10771.20621.50341.2464
0.02300.0708−0.00970.0633−0.01450.07731.69511.20840.8194
0.10690.1159−0.06300.08860.10930.09671.23441.23290.9988

0.75(50, 30)0.05450.16570.11140.19270.12750.13370.90281.38611.5353
0.00780.0877−0.01080.1301−0.02770.07480.67471.18411.7550
0.27550.21320.05270.14300.26750.20150.97951.05701.0792
(50, 45)0.04030.12160.10240.15210.11910.11691.55312.14161.3789
0.03450.05930.00100.08600.01370.02483.00252.07141.6899
0.07040.0918−0.09860.08150.07040.08321.20931.11060.9184

0.25(150, 90)0.32570.89720.33400.37980.28280.21832.94915.71781.9388
−0.18380.6342−0.20810.1432−0.14750.21456.00923.11500.5184
0.11670.09540.02590.04650.11450.07621.78421.29780.7274
(150, 130)−0.02820.75320.06150.08390.11770.09679.38749.08500.9678
0.04470.5568−0.01770.04000.00720.143013.98023.88080.2776
0.06440.0711−0.00020.02540.06700.05402.63901.35280.5126

0.5(150, 90)0.11140.62500.15390.19160.14220.13223.64815.47041.4995
−0.02100.3007−0.06030.0924−0.03290.08063.38393.77661.1161
0.14700.12810.05950.07220.15180.09271.55071.52860.9857
(150, 130)−0.06320.43750.09020.10910.11300.12493.01094.82050.4358
0.04600.6063−0.01950.0545−0.00210.07833.17223.26970.6507
0.03280.0787−0.03070.03140.04900.03612.54752.30450.9046

0.75(150, 90)0.14310.76120.17300.21150.16840.12864.07887.39071.8120
−0.01991.0295−0.05410.1302−0.03910.18488.08645.61520.6944
0.16510.12210.05920.06980.16220.10191.43041.25490.8773
(150, 130)0.03720.05240.06660.08960.08020.05700.59891.00811.6830
−0.00630.0350−0.01090.04610.00450.04450.75970.78531.0337
0.06680.0365−0.01490.03020.06610.03631.06871.00350.9390