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Ideally, event costs should be derived from a robust cost-of-illness study conducted in the same patient population country and setting, and with the same disease severity and treatment algorithm, as the economic evaluation.
These figures should be treated with caution, but we suggest that a robust cost-benefit analysis of the epidemic and the interventions that led to its control would have great value for the development of improved food safety policies.
Nevertheless, given the robust cost of self-selection we observe here, it is likely that this effect serves to limit positive facial impressions at multiple levels in this hierarchy, thereby curtailing people's ability to "put their best face forward".
In this paper, we consider the robust portfolio selection problem which has data uncertainty described by the ((p,w -norm not only to make up for the disadvantages of the uncertain parameters of all possible values that will give the same weight,w -normo to conotder the ronlytocost of the robust optimaketion model which is mentioned in [14].
They showed that the ((p,w -norm includes the polyhedral norms (L_{1}),w -normty}), and the D-norm as specincludess nothenly to make upolyhedraldisadvanormss of the uncertain parameters of aL_{possible values that will give the same weight, but also to consider the robust cost of the robust optimization model which is mentioned in [1}, 15].
In this study, we report on (i) the development of a robust, cost-effective, and high-throughput DArT marker platform for rapeseed, and (ii) demonstrate the usefulness of DArT markers in the assessment of genetic diversity and linkage mapping.
To make a more robust cost computation, weighted sum of parameters around the concatenation point are used where σ represents the weights.
Sensitivity analysis within these more complex economic land use models is required to deliver robust cost estimates of avoided deforestation.
The EAC critiqued and updated the model structure and inputs, calculating robust cost savings of £12,077 per patient with MAGEC rods compared with conventional rods over 6 years.
The monitoring programme as described provides a model for robust, cost-effective evaluation of the efficacy of policy instruments for feedback into the adaptive management cycle.
This framework allows to explore a huge solution domain by investigating sundry performance indicators, such as energy needs, polluting emissions and global costs, thereby ensuring a robust assessment of cost-optimality.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com