Research Article

A New Probability Model Based on a Coherent System with Applications

Table 1

Simulation study of MLEs for the proposed model.

Parameter
BiasVarMSECPBiasVarMSECP

250.0211140.0021150.0025610.8890.2057232.1930712.2353930.919
-0.039530.0621690.0637320.9210.1329160.6907940.708460.911
0.0425050.0087750.0105810.9410.0005670.1231770.1231780.951
0.1168790.2225730.2362340.9170.0170710.0952440.0955350.917
50-0.0082000.0011060.0011740.9390.320760.6174080.7202950.929
0.0366860.057650.0589960.9420.0440220.2328030.2347410.922
0.0152110.007550.0077810.946-0.10010.0753480.0853680.933
0.1227150.1996390.2146980.925-0.121450.0609640.0757150.937
100-0.000870.0010280.0010280.949-0.000440.153830.1538300.942
0.0106370.013130.0132430.9520.124640.2065040.2220390.949
-0.010460.0015110.001620.948-0.012680.0753960.0755570.967
0.1732950.1142130.1442440.955-0.032260.0543590.05540.951
3000.0130480.000650.000820.9590.0827770.047630.0544820.956
0.0109050.0091390.0092580.9570.0945350.1145530.123490.955
-0.005370.0010550.0010840.949-0.067170.0307050.0352170.951
0.1515360.1082450.1312080.965-0.041930.0138460.0156050.959
5000.0026210.0004820.0004890.9670.0085840.0490280.0491020.959
0.0068490.0012340.001280.977-0.043060.0631050.0649590.966
-0.007720.0010230.0010830.9730.035030.0206590.0218860.972
0.0432430.0836420.0855120.9620.0042470.0086810.0086990.959