latin hypercube sampling uncertainty analysis

Journal of Verification, Validation and Uncertainty Quantificationĭue to the complexity of the reactor system, many approximations are used in the nuclear design and calculations inevitably.Journal of Thermal Science and Engineering Applications.Journal of Offshore Mechanics and Arctic Engineering.Journal of Nuclear Engineering and Radiation Science.Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems.Journal of Nanotechnology in Engineering and Medicine.Journal of Micro and Nano-Manufacturing.Journal of Manufacturing Science and Engineering.Journal of Engineering Materials and Technology.Journal of Engineering for Sustainable Buildings and Cities.Journal of Engineering for Gas Turbines and Power.Journal of Engineering and Science in Medical Diagnostics and Therapy.Journal of Electrochemical Energy Conversion and Storage.Journal of Dynamic Systems, Measurement, and Control.Journal of Computing and Information Science in Engineering.Journal of Computational and Nonlinear Dynamics.Journal of Autonomous Vehicles and Systems.ASME Letters in Dynamic Systems and Control.ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering.Mechanical Engineering Magazine Select Articles.Additionally, this method can be applied to the R0 of any other infectious disease to estimate the probability of an epidemic outbreak. This uncertainty and sensitivity methodology provides results that can aid investigators in understanding the historical epidemiology of TB by quantifying the effect of the transmission processes involved. These results indicated that five of the nine input parameters, because of their estimation uncertainty, were influential in determining the magnitude of R0. The sensitivity of the magnitude of R0 to the uncertainty in estimating values of each of the input parameters was assessed. The R0 for the susceptible persons who developed TB slowly (R0(slow)) contributed the most to the R0 estimates however, the relative R0(slow) contribution decreased as the severity of TB epidemics increased. (The three components of R0 are associated with fast, slow, and relapse TB.) R0 estimates indicated the existence of fairly severe epidemics when TB epidemics first arose. The uncertainty analysis allowed for the derivation of a frequency distribution for R0 and the assessment of the relative contribution each of the three components of R0 made when TB epidemics first arose centuries ago. On the basis of replicated Latin hypercube sampling, the authors performed an uncertainty and sensitivity analysis of the basic reproductive rate of tuberculosis (TB). The basic reproductive rate (R0) is a measure of the severity of an epidemic.

Latin hypercube sampling uncertainty analysis