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For this purpose a geomorphological model methodology is presented to predict shape and volume of hydrographs for important floods.
Only if a model methodology is well defined, data can be collected and published in a structured way.
Here, the use of a control vector parameterization approach combined with efficient and robust hybrid global optimization methods and a reduced order model methodology is proposed.
Uncovering the assumptions and processes within a referral management intervention therefore requires an understanding of whole systems and assumptions, which a logic model methodology is well placed to address.
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Covariance-Based Structural Equation Model methodology was applied to investigate the complex relationship between the latent constructs.
Both fixed (primarily) and random effect model methodology was applied.
Here, the above mixture model methodology was applied to the expression vector of the probe p in the TRANSBIG cohort to find p- and p+ components.
Statistical analyses with the linear model methodology are based on the assumption that the population being investigated is normally distributed with a common variance and additive mean structure [ 10, 11].
A novel Patch Modelling Methodology is proposed for improving the computational feasibility of stochastic modelling analysis of large-scale and complex groundwater models.
An overview of the ResNet modeling methodology is presented.
In this study, a joint modelling methodology is presented.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com