Research Article

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

Table 6

Assessment results for parameters a1 = 0.9, a2 = 0.9, and a3 = 0.9.

nBIAS BIAS BIAS RMSE RMSE RMSE AD-absAD-max

MLE500.013810.015590.017700.111280.143100.098040.006410.01246
CVM−0.014440.01793−0.010150.126250.167440.129310.005280.00981
OLS−0.014520.06077−0.021990.129610.187790.135640.015800.02358
WLS0.084940.091610.079970.169290.188040.150790.032920.06504
ADE−0.025880.01931−0.026400.115380.157440.108960.009230.01718
RTADE0.006900.025300.011320.149650.187400.159600.006420.01257
LTADE0.008510.015890.001070.145770.143760.115570.004150.00779
MLE1000.005700.015420.006610.078420.098850.067040.004030.00801
CVM−0.003800.01396−0.03680.086600.117610.088790.003660.00530
OLS−0.009410.02469−0.012170.090510.121810.091180.006660.01095
WLS0.054250.051550.051240.106950.119680.092980.020760.04056
ADE−0.013740.00448−0.013490.082980.107950.075540.004570.00786
RTADE−0.001280.017050.001230.104640.135740.111870.004240.00621
LTADE0.002990.00385−0.000030.106000.099970.082420.001070.00206
MLE3000.001830.004070.001750.043420.055140.036750.001070.00211
CVM−0.002350.00407−0.001820.051710.066600.053920.001110.00192
OLS−0.006450.00625−0.006080.049180.063690.051180.002340.00443
WLS0.027450.022200.026270.057930.062260.049970.010350.01981
ADE−0.00733−0.00022−0.006410.045310.058580.042220.002310.00352
RTADE−0.002950.00490−0.001880.059410.073300.062090.001320.00225
LTADE0.002600.004910.000650.059700.056570.046200.001290.00247
MLE5000.001430.001780.001740.032930.043480.027470.000730.00144
CVM−0.001500.00163−0.000960.038750.050720.040040.000500.00095
OLS−0.001500.00521−0.002100.038750.048980.039770.001400.00214
WLS0.020260.017200.019270.043380.048190.037090.007730.01493
ADE−0.003170.00139−0.003170.035430.045490.032510.001060.00189
RTADE0.001200.003450.001410.048290.058240.050540.000900.00177
LTADE0.000670.00138−0.000090.049030.045580.037900.000360.00064