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A standardised method prescribed by the International Organisation for Standardization (BSI 2006), LCA, adopts a process-based modelling approach where a system is modelled using an inventory of processes representing inputs, outputs and potential environmental burdens of the system.
The final model considered is a two-stage joint modelling approach where the longitudinal process is first fitted separately, and the MLE and best linear unbiased predictors (BLUPs) of the random effects are obtained.
The technique facilitates a modelling approach where a mixture of theoretical and experimental models can be incorporated into a model of the complete system.
The plume model can be used as a predictive tool in a 'forward modelling' approach, where source and atmospheric conditions are specified.
A more useful approach is to base in vitro models on time kill curves [ 12, 13] using a modelling approach where the relationship between estimated growth rates and antimicrobial concentrations is analysed by maximum-effect (E max ) models.
This means that a modelling approach where the wash-off process is predicted as a continuous function of rainfall intensity and duration is not appropriate.
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Sensitivity of structural response quantities to the input uncertainties using plastic analysis with lumped plastic hinges found to be quite distinct compared with those of obtained using fibre-based modelling approaches, where axial flexural deformation interaction, and in turn, compressive arching action is taken into account.
This paper proposes an integrated approach (moni-modelling approach) where monitoring data and modelling simulations work together in order to provide a common decision framework for the risk assessor.
Further research should extend the described modelling approach to situations where other environmental factors such as root-zone water storage limit growth.
An event or topic modelling approach is considered where the dependency between news report event or subtopic nodes is represented from their correlated property derived from similarity or distance measure associating these news report events or subtopics.
To estimate the model parameters, population analysis was performed using the non-linear mixed effects modelling approach as commonly done, where data from all patients are analysed simultaneously (described in the Supplementary Material 4; Sheiner, 1984).
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Justyna Jupowicz-Kozak
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