نتایج جستجو برای: probabilistic sensitivity analysis
تعداد نتایج: 3111982 فیلتر نتایج به سال:
Boolean networks and, more generally, probabilistic Boolean networks, as one class of gene regulatory networks, model biological processes with the network dynamics determined by the logic-rule regulatory functions in conjunction with probabilistic parameters involved in network transitions. While there has been significant research on applying different control policies to alter network dynami...
چکیده ندارد.
our aim was to make right and informative decision about choosing the most cost-effectiveness heterogeneous infectious waste treatment methods and devices.in this descriptive study, decision tree analysis, with 10-yr time horizon in bottom-up approach was used to estimate the costs and effectiveness criteria of the employed devices at provider perspective in iranian hospitals. we used the one-w...
BACKGROUND The Enhanced Matching System (EMS) is a probabilistic record linkage program developed by the tuberculosis section at Public Health England to match data for individuals across two datasets. This paper outlines how EMS works and investigates its accuracy for linkage across public health datasets. METHODS EMS is a configurable Microsoft SQL Server database program. To examine the ac...
objective: the diagnosis of vertical root fracture (vrf) in endodontically treated teeth is a clinical challenge due to lack of specific clinical and radiographic signs. although radiographic evaluation such as cbct is helpful, intracanal posts can produce artifacts and may impair the quality of cbct scans. this study aimed to compare the diagnostic accuracy of different resolutions of cbct in ...
Global sensitivity analysis provides insight into how sources of uncertainty contribute to in predictions computational models. indices, also called variance-based indices and Sobol are most often computed with Monte Carlo methods. However, when the model is computationally expensive only a small number samples can be generated, that is, so-called small-data settings, usual estimates may lack s...
Statistical predictions of storm surge are critical for guiding evacuation and emergency response/preparedness decisions during landfalling storms. The probabilistic characteristics these formulated by utilizing historical forecast errors to quantify relevant uncertainties in the National Hurricane Center advisories. This ultimately leads description probability distributions quantifying deviat...
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