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In this section, we conduct some simulations to show the finite performance of the proposed method.
Finite performance of the proposed procedures is examined in a simulation study, and application is demonstrated using data from a series of crop variety trials.
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See Appendix B. We evaluated the finite length performance of full-diversity LDPC codes and the asymptotic performance by applying DE on the proposed code construction.
(2017a), they show that the finite sample performance of the proposed procedures in this paper exhibits a good performance when we use data in first differences or levels and the common factors are I(1).4.
We now perform a Monte Carlo simulation study to evaluate the finite sample performance of the variable bandwidth local M-estimators by comparing the mean square error (MSE) between them and the Nadaraya Watson estimators.
(1971) investigated its finite sample performance.
These results are identical to the finite length performance results.
Simulation studies and a real example show the finite sample performance of our method.
In the first simulation, we evaluate the finite sample performance of α ˆ.
Furthermore, the 2ELW estimator finite sample performance appears to inherit the 2ELW estimator, desirable properties.
Some simulation studies are also conducted to investigate the finite sample performance of the proposed method.
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