Research Article

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

Table 5

MLE, MPS, and Bayesian estimation methods under different censored sample in case 3.

SchemeMLEMPSBayesian
BiasMSEBiasMSEBiasMSE

50Complete0.05120.28430.12040.24560.03780.2365
0.16390.1279−0.05610.07150.05340.0574
−0.16350.36600.25170.2201−0.22790.2071
0.25910.07320.05380.06920.03810.0598
0.37130.35740.58690.36130.21380.2400
0.50820.41020.26680.19520.43580.3002
0.18040.42520.14540.3620−0.15460.1603
−0.37570.1784−0.34720.1611−0.33410.1529
0.27220.30110.45010.25650.13970.2395
0.30830.20610.09300.09670.24080.0914
−0.04390.45940.13050.3059−0.15470.2572
−0.08600.0889−0.22190.0913−0.10030.0703
0.35520.32620.35480.31550.06250.1100
0.63550.59640.36830.29090.28940.1533
−0.04850.60340.32470.5875−0.04540.1793
−0.51730.2879−0.59650.2379−0.42940.2020
0.27870.28850.25160.25600.11920.1023
0.31940.21320.09630.09340.19310.0879
0.18370.31610.39960.3148−0.10380.1750
−0.10160.0767−0.24290.0712−0.10480.0356

100Complete0.05940.20350.18620.20330.04920.1692
0.09210.0693−0.05310.06440.02820.0288
−0.06380.34190.20160.1389−0.11590.1290
0.16350.06210.00130.06150.04040.0442
0.37510.24650.51340.38710.23240.1827
0.44020.26180.30170.15040.42220.2422
0.05210.41990.29320.3902−0.05200.3138
−0.40860.1837−0.46550.2331−0.34070.1334
0.29690.22630.47240.40980.12150.1786
0.24410.11860.11020.06160.25600.1052
0.19180.20930.34120.2986−0.11630.3028
−0.15070.0651−0.24370.0993−0.08810.0347
0.47510.39490.63030.2592−0.04590.0566
0.50610.33640.34990.19060.24570.0967
0.34530.36510.49480.4878−0.04270.0647
−0.55750.3221−0.60940.3833−0.42480.1924
0.32820.25290.50230.21520.04390.0507
0.23130.10430.09720.05170.16640.0518
0.05920.30840.32840.4415−0.01400.0564
−0.16510.0638−0.25900.1024−0.11950.0264

200Complete0.03140.19230.14070.19030.03710.0250
0.06400.0410−0.03860.0256−0.00070.0093
−0.05080.23780.14030.0736−0.01620.0349
0.11810.0614−0.01480.05830.00260.0078
0.45200.28030.45530.2397−0.00300.0261
0.38130.17670.29920.11920.25320.0762
0.30420.21240.34210.2031−0.02610.0316
−0.44170.2039−0.47850.2014−0.34350.1225
0.31640.19980.43130.20830.03050.0253
0.19910.06400.12100.03570.16600.0402
0.11330.17780.26350.1720−0.00690.0289
−0.18660.0954−0.24420.0763−0.11210.0198
0.44850.25990.53270.34−0.06090.0304
0.47840.26760.39020.18730.23410.0698
0.13810.16340.2740.2031−0.0590.0341
−0.56030.3193−0.59030.3537−0.41740.1779
0.32280.17610.43830.2790.03140.0265
0.19610.06030.12060.03390.17220.0407
0.27570.1510.36330.19660.00540.0256
−0.18920.0511−0.24380.0743−0.12180.0203