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A number of random factors influence individual participation in specific elections.
There are two requirements in simulation of random factors.
2) Coexistence of random factors with deterministic factors.
Input data were dependent on a combination of random factors.
Moreover, the component of random factors is assumed to follow a Gaussian distribution.
2) The probability of each scenario can be calculated according to the distribution of random factors.
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The SAS MIXED procedure was not used because the PROC MIXED approach is inappropriate when the number of levels of the random factors in the model is relatively few (Littell et al. 2006).
It is helpful to eliminate the influence of various random factors and enhance the robustness of parameter estimation.
Finally, using the Monte Carlo method, the probability distribution of maximum shore loads and the influence of various random factors are presented.
An increase in the fluctuation range of the random factors will lead to larger fluctuation of the state variables, which can result in worse curve fitting of the proposed method.
Some of the random factors, embodied in ν, are widely observable.
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Justyna Jupowicz-Kozak
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