Research Article

Marshall–Olkin Alpha Power Weibull Distribution: Different Methods of Estimation Based on Type-I and Type-II Censoring

Table 3

MLE, MPS, and Bayesian estimation methods under different censored sample in case 1.

SchemeMLEMPSBayesian
BiasMSEBiasMSEBiasMSE

50Complete−0.03600.17740.21750.16980.04190.1298
0.18460.19210.06030.11480.05770.0595
0.43590.89300.80540.7499−0.01460.1780
−0.16200.1278−0.30040.1200−0.07160.0520
−0.02320.25280.19150.20380.18380.1924
0.20130.2191−0.03910.12410.21480.1802
−0.02070.99240.23720.80740.04210.3782
0.27160.49380.03890.34750.11850.1309
0.07740.14790.16990.13280.04680.1520
0.19490.20410.23720.19560.21990.1142
0.01640.90070.09420.7554−0.04030.2074
−0.24740.2662−0.23560.2361−0.10240.1064
0.08230.14240.26350.1220−0.00590.1208
0.53170.46970.27620.22080.23500.2028
0.63631.03120.72070.9805−0.06350.1919
−0.52510.3035−0.60840.3020−0.36540.1663
−0.06770.13390.19450.12140.04030.1181
0.26810.20860.04070.11430.19640.0879
0.37250.84880.35770.83940.05940.1908
−0.11460.1113−0.16610.1081−0.06650.0387

100Complete0.08650.09550.15010.09130.05600.0813
0.12040.1225−0.03540.07120.05870.0382
0.00920.74820.18170.5471−0.01870.1522
−0.15240.10550.00800.11200.06100.0518
0.00590.18210.22940.1528−0.03280.1495
0.39720.23500.25050.12850.23460.0412
0.71580.88130.92670.8284−0.06460.1760
0.17610.3174−0.57550.3049−0.38180.1582
−0.04560.11040.13470.10460.01100.1055
0.20780.11250.07180.08640.20400.0391
0.55750.77370.40160.61210.01470.1609
−0.15520.2859−0.32880.1554−0.13250.0936
0.12750.10870.25840.1076−0.00050.0828
0.41580.24280.26970.13410.23360.1156
0.73820.96580.79340.9323−0.06050.0953
−0.56270.3295−0.46160.3193−0.40270.1732
−0.04630.10790.09140.0975−0.00400.0801
0.16720.08800.02940.05260.19160.0635
0.50280.74410.47780.71560.01140.0920
−0.18950.1109−0.12930.1102−0.08850.0274

200Complete0.04900.16880.12330.08530.00810.0287
0.06490.0667−0.03890.03520.01190.0103
0.03670.54190.15350.3122−0.00960.0226
0.09570.1172−0.02700.08870.01690.0097
0.14700.07450.12330.07110.03380.0327
0.33250.14330.25160.09270.24660.0742
0.83580.95300.95000.9412−0.06770.0329
−0.55130.3128−0.58460.3050−0.37890.1482
−0.01600.07200.05110.07100.02210.0307
0.15670.05230.07480.03010.16710.0404
0.61550.63360.78350.63880.00420.0243
−0.27660.0997−0.33670.0914−0.14640.0276
0.14570.06160.23100.1017−0.02000.0308
0.36270.16260.27640.10480.21240.0610
0.82230.88760.79680.8197−0.06900.0306
−0.58200.3448−0.61620.3860−0.39200.1579
−0.05940.06070.07150.09150.00470.0271
0.13330.04500.05280.02700.14300.0292
0.54180.52090.69650.71780.00340.0289
−0.21870.0730−0.28200.1038−0.10170.0167