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We therefore applied a within model sampling technique called thermodynamic integration (TI).
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This model-free sampling technique is developed to operate without a probabilistic model.
We mathematically show that the best representative of all the local models is a certain "mean" model, and empirically show that this model can be approximated quite well by generating artificial samples from the local models using sampling techniques, and then fitting a global model of a chosen parametric form to these samples.
Uncertainties of input probabilities are propagated through the model using Monte Carlo sampling technique.
In order to further improve the efficiency while combining the delta circuit model and the sampling technique, a cluster-based delta-QMC technique is proposed in this paper to reduce the delta change in each sample.
The conditional outage rate model and the sampling technique are proposed, which consider the correlated outage of multiple transmission lines when a disaster happens.
The conditional outage rate model and the sampling technique are then proposed considering the correlated outage of multiple transmission lines when a disaster happens.
The rest of the paper will focus on the conditional outage rate modeling and the sampling technique for transmission lines under disasters.
Billinton and Wenyuan [19] used the two-state weather model and the Monte Carlo sampling technique to incorporate the variable weather conditions in a composite analysis.
This joint uncertainty was then propagated through the model using Monte Carlo sampling techniques to generate distributions of lifetime costs and health outcomes for patients receiving each treatment regimen.
The field measurement of emissions used for validating the model was based on a canister sampling technique, undertaken under different climatic conditions for Hong Kong's main ecosystem types in both urban and rural areas.
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CEO of Professional Science Editing for Scientists @ prosciediting.com