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A MCMC procedure was introduced to estimate the parameters of interest.
Firstly, to avoid the nested double-loop optimization procedure that is time consuming in computations, the interval arithmetic is introduced to estimate the bounds of the interval objective function and formulate the design problem under the worst scenario.
A simple procedure is introduced to use periodic Density Functional Theory calculations to estimate trends in the thermodynamics of surface alloy dissolution in acidic media.
An iterative improvement procedure is introduced to improve the solution.
A discrete 3D re-sampling procedure is introduced to drive these samples along time.
A statistical procedure is introduced to evaluate the significance of candidate clusters through parametric bootstrap.
This procedure was introduced to keep participants attending and to maintain fast responses.
Several procedures are introduced to restructure the development process.
Ultrasound-guided procedures are introduced to the students in the M2 year.
To introduce a quality measurement of the haplotypes and alternative inferences which have been calculated, a bootstrapping procedure is introduced as follows.
Then the double-loop-repeated-set Monte Carlo (MC) (denoted as DLRS MC) procedure, the double-loop-single-set MC (denoted as DLSS MC) procedure and the model emulation procedure are introduced for estimating the W-indices.
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