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The data drawn from the interviews were analyzed with the Dependency Structure Modelling Value Bucket (DSM VB) algorithm.
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The main output measure was calculated by converting EuroQol item responses to health state values, where each set of responses on the standard 5-item instrument was matched to a health state value where 0 = death and 1.0 = perfect health by an algorithm derived from modelling values [ 17] using health state preferences elicited from a general population [ 8].
17 In order to test the robustness of our findings, we performed a series of simulations (univariate sensitivity analyses) in which we varied the major assumptions of the modelling with values proposed in the AETMIS report 22 and recalculated the cost effectiveness ratios.
Which index is used for the raw data (modelling time, parameter value, initial value)?
Additionally, a comparative study between the uncertain CCP approach and another uncertain expected value modelling approach is conducted.
We evaluate the new approach in application to marginal extreme value modelling of storm peak significant wave heights in two ocean basins, accommodating spatial and directional covariate effects.
However, many approaches to extreme value modelling assume stationary conditions and it is not straightforward how to include non-stationarity of the extremes due to for example climate change.
We review aspects of extreme value modelling relevant to characterisation of ocean environments and the design of marine structures, summarising basic concepts, modelling with covariates and multivariate modelling (including conditional and spatial extremes).
To more formally demonstrate the relationship between RMS scores and sequence lengths, human DNA sequences of lengths ranging from 400,000 to 500 bps were generated and model error estimated for each dataset using separate modelling to minimum values (Additional file 3: Figure S2 in Supplementary Data).
Similarly, the model's discriminatory power (measured by AUC) of the two other modelling algorithms yielded values of 0.89 for Support Vector Machines (SVM) and 0.99 for Environmental distance.
Recent developments in extreme values modelling have been used to develop a framework for determining the coastal erosion hazard on sandy coastlines.
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