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Simulation studies are performed to obtain the small sample performance of the proposed statistic.
(1971) investigated its finite sample performance.
Some simulation evidence is provided, showing how the magnitude of the thresholds affects finite sample performance.
Some simulations results on finite sample performance of the criterion are reported.
Repeated creep test results also proved the difference between laboratory and field sample performance.
The small sample performance of the proposed method is evaluated by simulation studies.
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Simulations demonstrate good finite-sample performance of the approach both in classification and estimation.
Simulation studies are conducted to assess the finite-sample performance of the proposed method.
Out-of-sample performance of discrete-time short-term interest models, with H. Li and F. Zhao, Journal of Business and Economic Statistics 22 (2004), 457-473.
To evaluate and compare the finite-sample performance of these interval estimators, we apply the Monte Carlo simulation.
In addition, the out-of-sample performance of the semi-parametric model is superior to that of the linear model.
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