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A random term for study participant was also entered.
We consider a stochastic Korteweg de Vries equation forced by a random term of white noise type.
We need to convert the stochastic equation (3.1) with a random term into a deterministic one with a random parameter.
Acceleration is weighted by a random term, with separate random numbers being generated for acceleration towards pbest and gbest values.
The search is driven by a Langevin equation whose random term is generated by a Levy distribution, and by a Metropolis algorithm.
Smith [10] suggested that (2) may be compared to the regression S_{t+1}=aS_{t}+b+epsilon, where ϵ is an iid random term.
For our purpose, we need to convert the stochastic equation (3.3 - 3.4 3.3 - 3.4andom term into a deterministic one with a random parameterm
We note that the ideal channel amplitude fluctuations, caused by the random term, will not affect the decision for binary modulation.
Depending on the assumed distribution that the random term follows several qualitative choices, models such as linear probability, logit/probit, model could be estimated (Glwadys 2009).
Complementarily, we plot the mean curves (discarding the random term (X_sigma ) from Eq. 2.1.2) for the Shadowing propagation model using the sets of parameters from Table 3.
Although gains were significant, addition of a random term that allowed for variation in the longitudinal shape did not greatly improve Da.
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