Research Article

A New Probability Heavy-Tail Model for Stochastic Modeling under Engineering Data

Table 5

Assessment results for parameters a1 = 0.5, a2 = 1.5, and a3 = 2.0.

nBIAS BIAS BIAS RMSE RMSE RMSE AD-absAD-max

MLE500.008850.062170.039640.062690.295590.209360.007930.01690
CVM−0.009080.08121−0.013760.071190.458810.306630.008210.01095
OLS−0.003280.18501−0.042160.073880.517600.317440.018750.02491
WLS0.052830.241340.177740.093880.461300.310770.034700.07045
ADE−0.009690.05600−0.044300.065600.369560.241700.007330.01349
RTADE−0.000630.125710.010590.084640.554540.349660.011470.01982
LTADE0.003760.04841−0.025870.080200.322950.235330.005610.00812
MLE1000.005800.032310.023560.042070.198780.138360.004650.00970
CVM−0.007060.02614−0.007570.048470.301430.220600.002840.00563
OLS−0.002720.09558−0.022140.047480.327480.229130.009900.01285
WLS0.033060.138940.117020.059230.268190.200830.022270.04464
ADE−0.005160.03187−0.022960.043960.249230.168990.004010.00724
RTADE−0.000450.050010.006900.057500.353800.235520.004600.00821
LTADE−0.000020.01576−0.016930.059380.226350.167500.002150.00332
MLE3000.001100.010300.005100.023630.107390.076800.001160.00256
CVM−0.002640.00716−0.002650.027470.152470.129390.000930.00192
OLS−0.001310.01964−0.004930.027570.159430.125870.002090.00262
WLS0.015830.053740.057830.031990.131470.106050.010520.02035
ADE−0.002290.00008−0.007460.024770.133050.092430.001240.00201
RTADE−0.000250.019140.000870.032600.182490.134690.001840.00301
LTADE−0.000200.00279−0.003940.033690.124920.094570.000450.00078
MLE500−0.000990.00209−0.001180.018750.084580.060020.000360.00072
CVM−0.000410.007040.000640.021670.117370.098420.000670.00100
OLS−0.000910.01876−0.006960.021120.124280.097960.002070.00266
WLS−0.011520.044600.042260.024040.101590.079500.007940.01575
ADE−0.001550.00665−0.007070.019130.104620.071970.001050.00201
RTADE−0.001860.00904−0.000410.024440.140300.101290.001030.00190
LTADE0.000270.00469−0.002890.025880.095250.072260.000560.00076