Research Article

The Mixture of the Marshall–Olkin Extended Weibull Distribution under Type-II Censoring and Different Loss Functions

Table 1

The estimate, estimated risk, and length of the interval, Bayes method based on the squared loss function, and Bayes method based on the LINEX function when the prior distribution is gamma at different sample sizes.

n204080

MLEs
ParameterEstimateEstimated riskLengthEstimateEstimated riskLengthEstimateEstimated riskLength
2.22669620.455222931.78444111.92550290.261506881.02508811.71969750.173381000.679611
5.44807500.746434512.92596954.87380220.45190731.77144444.66223340.294815901.1556571
2.60506910.46961281.84084852.36229730.329970541.29346082.19652630.21342740.8366198
4.95933110.742548332.91073604.61061230.43595771.70892284.41589060.280535771.0996800
2.18420480.786394153.24107301.83864150.34367881.34719631.70592490.189377500.7423461
4.82917331.518234465.95136974.16354120.73807152.89318733.87622120.406415291.5931187
2.22417090.89045263.58512221.94108340.40023031.56887401.81207310.233500510.9153052
4.59221801.323007625.18609464.11842710.73962912.89929293.81276300.392107271.5370323
1.781231320.512795472.05997571.73702240.3279791.28568681.74245580.222299350.8713974
4.16721001.277105135.00616013.75289990.75125982.94488423.31002110.442603201.7349727
1.63697910.567171752.23610351.48591410.30432381.19292771.39663390.187699520.7357686
5.04071801.562414616.12455274.34498700.87544583.43168453.80527240.518940372.0342089
0.49971870.079014530.3097310.49930520.05588370.21906010.9942090.039519370.1549131
0.47972180.079008470.30970750.50031560.05588110.21904990.50006050.039520830.1549188

Bayes estimates based on the squared loss function
2.17291810.0045522930.97845511.086459050.002276110.489227550.5432295250.0011380550.244613775
4.9809010.058294611.93425852.49045050.02914730.96712911.2452250.0145740.483565
2.0566290.46961281.12973551.02831450.23480640.564867750.5141570.1174030.282434
4.52831120.073265482.49382602.26415560.036632741.2469131.1320780.0183160.623457
1.70439840.0926884152.38641560.85219920.04634420751.19320780.42610.0231720.596604
4.12619440.06928463262.53681352.06309720.034642311.26840651.0315490.0173210.634203
2.13682090.08452692.18512221.068410450.04226361.09256110.5342050.0211320.546281
4.31231800.0323007621.98609462.15615990.016150360.99304731.078080.0080750.496524
1.29268750.0512795472.05997570.646343750.025638971.029987850.3231720.0128190.514994
3.96831900.497105133.00616010.98415951.98415951.503080050.992080.0992080.75154
1.43983210.067171752.23610350.719916050.719916051.11805150.3599580.3599580.559026
4.284371201.562414610.92455272.14218560.0140218560.462276351.0710930.0070110.231138
0.49919578570.079014530.63097310.249597850.034959780.315486550.1247990.01247990.157743
0.63899780.079008470.03097920.31949890.021949890.01548960.1597490.0197490.007745

Bayes estimates based on the LINEX function
2.2729180.1045521.0784551.1864590.1022760.5892280.643230.1011380.344614
5.0809010.1582952.0342592.5904510.1291471.0671291.3452250.1145740.583565
2.1566290.5696131.2297361.1283150.3348060.6648680.6141570.2174030.382434
4.6283110.1732652.5938262.3641560.1366331.3469131.2320780.1183160.723457
1.8043980.1926882.4864160.9521990.1463441.2932080.52610.1231720.696604
4.2261940.1692852.6368142.1630970.1346421.3684071.1315490.1173210.734203
2.2368210.1845272.2851221.168410.1422641.1925610.6342050.1211320.646281
4.4123180.1323012.0860952.256160.116151.0930471.178080.1080750.596524
1.3926880.151282.1599760.7463440.1256391.1299880.4231720.1128190.614994
4.0683190.5971053.106161.084162.084161.603081.092080.1992080.85154
1.5398320.1671722.3361040.8199160.8199161.2180520.4599580.4599580.659026
4.3843711.6624151.0245532.2421860.1140220.5622761.1710930.1070110.331138
0.5991960.1790150.7309730.3495980.134960.4154870.2247990.112480.257743
0.7389980.1790080.1309790.4194990.121950.115490.2597490.1197490.107745