Research Article

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

Table 3

Parameter estimation for WGED under ATIIPCS with random removals in case-1.

P(n, m)MLEMPSBayesianRelative efficiency
BiasMSEBiasMSEBiasMSERE1RE2RE3

0.25(50, 30)−0.03531.6448−0.05840.51790.02730.34623.19494.75731.4891
0.07510.2288−0.03770.13050.03430.05751.72943.95952.2895
0.33230.28140.10600.14860.32380.25561.24541.13450.9110
(50, 45)−0.07590.3302−0.15710.5090−0.04020.20330.66991.60832.4008
0.08480.08780.02990.11540.05170.04340.70421.98152.8141
0.10290.1017−0.07370.08630.09820.09331.12701.08860.9659

0.5(50, 30)0.03290.4587−0.00980.52940.04110.28350.86451.62361.8781
0.07580.0974−0.02410.12100.04900.05620.76121.70532.2401
0.30110.26710.07590.15600.29170.24731.17441.08790.9264
(50, 45)−0.12501.9345−0.15810.5800−0.03440.21783.45768.85822.5619
0.10380.26300.04050.14200.05070.04041.79646.65833.7065
0.09100.1060−0.08220.08850.08830.09201.19471.15980.9707

0.75(50, 30)0.01580.98630.00800.48230.05180.32422.04463.06631.4997
0.09220.1620−0.02620.10590.05740.06621.45892.44001.6725
0.26290.24670.04730.14800.25820.22451.21811.12490.9235
(50, 45)−0.09340.3563−0.17080.4958−0.01300.19290.74481.80342.4211
0.08070.08240.02370.10470.03750.03710.72902.13002.9218
0.09070.0989−0.08420.08710.08570.09101.13211.08270.9563

0.25(150, 90)0.27792.87510.32961.12800.11020.41022.74467.02882.5609
0.01300.2429−0.05780.07750.01950.03013.27468.15632.4908
0.15590.07550.06350.04520.15440.06631.24431.20630.9694
(150, 130)0.01680.0697−0.01320.1133−0.00560.17050.61340.40710.6636
0.01830.0158−0.00980.02810.02400.01960.55320.81221.4682
0.05930.0332−0.01880.02890.05690.03151.03841.05191.0131

0.5(150, 90)0.33111.09830.37881.22200.14730.33130.91683.19333.4830
−0.00780.0783−0.06890.09030.00430.03070.91412.54972.7894
0.12540.06250.03100.04450.12180.06001.07361.03590.9648
(150, 130)−0.07800.3891−0.01680.1021−0.03250.19643.70412.68190.5212
0.04150.0440−0.01200.02810.03060.02181.96742.98871.3391
0.04580.0384−0.02930.02930.04550.03061.27521.27130.9969

0.75(150, 90)0.32330.56150.38820.15560.13400.36301.44984.22252.9124
0.00230.2837−0.07700.07270.01330.06083.24852.67871.1013
0.11900.06740.02810.04470.11540.06141.21121.10730.9142
(150, 130)−0.01110.1078−0.04550.1691−0.01230.17760.64460.60670.9412
0.02620.02830.00180.04670.02290.02150.59201.31952.2289
0.03330.0309−0.04470.03090.03170.02931.02901.05111.0215