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The estimated simulation results is used for generating dynamic manufacturing decisions reflecting the real-time changes of the production environment.
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A probability distribution for this metric was estimated by simulation of a null model.
Hence, significance is usually estimated by simulation under some null model.
The model parameters of the EW equation are estimated from simulation data through least-square methods.
In this simulation, we compared the performance of this imputation with the setting using a true covariance structure, which could be estimated from simulation settings.
Energy consumption was estimated from simulation of both cases.
The value of is estimated via simulation to be lower than five, that is,.
The charge on the charged sTNP tip was approximately −1.7 × 10−14C, as estimated through simulation.
Critical values for the MCC test were estimated through simulation for this study.
The risk of yield losses to sterility caused by low temperatures was estimated by simulation.
The shape changes were estimated by simulation of temperature distribution at the tips.
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