Research Article

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

Table 4

Assessment results for parameters a1 = 2.0, a2 = 0.6, and a3 = 0.8.

nBIAS BIAS BIAS RMSE RMSE RMSE AD-absAD-max

MLE500.021250.002410.008830.240950.050200.084510.003770.00718
CVM−0.033610.005900.001960.283830.056120113110.004790.00800
OLS−0.040760.015960.019880.284220.056810.127730.014030.02079
WLS0.190870.025510.077920.379260.060050.135780.036720.07189
ADE−0.058620.00436−0.011590.259280.052330.097130.006670.01160
RTADE0.006990.00511−0.014930.348090.057050.110650.003120.00573
LTADE−0.001890.002560.006430.332870.052060.119020.002680.00480
MLE1000.014650.001730.006950.169130.036050.059490.003360.00655
CVM−0.011770.00004−0.000950.200470.036800.081390.001060.00166
OLS−0.008260.007560.013340.194270.038200.084280.007190.01191
WLS0.138000.014320.053970.244640.040620.088160.024800.04815
ADE−0.019140.00186−0.002940.176130.036210.066030.002100.00392
RTADE−0.005840.00364−0.007890.224400.038580.076940.002530.00472
LTADE0.008130.001520.004770.230520.035900.078340.002140.00418
MLE3000.006050.001530.003120.098020.020400.034230.001850.00353
CVM−0.003740.000660.001150.114410.021370.048730.000630.00090
OLS−0.004440.001980.003130.113680.021780.048810.001860.00286
WLS0.063550.006460.024140.128110.022950.045330.011430.02215
ADE−0.008650.00014−0.001910.102560.021160.039630.001010.00162
RTADE0.003480.00148−0.000170.133450.022150.043710.001150.00186
LTADE−0.00102−0.000160.000250.137370.020870.045730.000100.00017
MLE5000.004330.000560.001590.078580.016090.027190.000830.00162
CVM−0.003660.000630.000490.084630.016200.035690.000540.00084
OLS−0.000520.002190.003790.086100.016240.035370.002110.00362
WLS0.050270.005490.019240.099100.017460.034820.009250.01797
ADE−0.002360.001060.000560.078250.015760.029090.000890.00130
RTADE0.002560.00051−0.000490.104150.017940.034600.000360.00061
LTADE0.007070.000990.02710.101650.015610.033870.001410.00275