Sentence examples for based on probability distribution from inspiring English sources

However, since Monte Carlo simulation is based on probability distribution, this technique is not appropriate for fuzzy fault tree analysis, which is based on fuzzy probabilities.

The upstream GHG emissions arising from the production of the fuels are then quantified, with consequent uncertainties assessed using Monte Carlo analysis based on probability distribution functions for critical input parameters.

Therefore, a practical method based on probability distribution function is proposed which performs all the data processing in time-domain for the purpose of crack detection in beam-like structures.

The significance of this paper consists in generalization for the MHR method: the computations are done without matrices in curve fitting and shape modeling, with clear point interpolation formula based on probability distribution function (continuous or discrete) and nodes combination.

−How does the model deal with uncertainties? −'The model is deterministic and does not include random elements.' −'The model is mainly deterministic but incorporates stochastic components (e.g. includes Monte Carlo simulations based on probability distribution assumptions for key parameters).' −'The model is mainly stochastic as it is based on probability theory (e.g. econometric model).'  11.

The origin of BNs is based on probability distribution, which can be graphically depicted.

The circuits' immunity was evaluated using the functional fault models based on probability distributions.

In the system, we also provide the design of the heuristic decision methods and models based on probability distributions.

The starting time of each hot water usage is specified based on probability distributions derived from actual energy metering data.

Many different approaches for developing KBPs exist, but the most successful methods to date build upon a seminal paper by Sippl – published two decades ago – which introduced KBPs based on probability distributions of pairwise distances in proteins and reference states [7].

Random variables are used to generate noise in the model and determine when and which reaction occurs based on probability distributions set by substrate levels.