While economic models are a useful tool to aid decision-making in healthcare, there remain several types of uncertainty associated with this method of analysis. G One-way sensitivity analysis allows a reviewer to assess the impact that changes in a certain parameter will have on the model's conclusions. G Sensitivity analysis can help the reviewer to determine which parameters are the key drive...

Sensitivity analysis (SA) is an important part in engineering design under the uncertainty to provide valuable information about the probabilistic characteristics of a response. In this paper, the variance-based methods and the cumulative distribution function (CDF)-based sensitivity coefficients were used in sensitivity analysis. The combination of sparse grid stochastic collocation (SC) and t...

Abstract The main objective of this study was to evaluate eight kinds trace element pollutants in groundwater from a typical coal mine area, and carry out corresponding health risk assessment for the local populace. To do this, 34 shallow (SG) samples 18 mid-layer (MG) were collected Sulin mining area. minimize uncertainties assessment, paper relied on Monte Carlo simulations sensitivity analys...

Probability distributions bring flexibility as well as accuracy in modeling and analyzing real-time systems. On the other end, the adding of probabilities increases the complexity of the scheduling problem, especially in case of mixed-criticalities where tasks of different criticalities have to be taken into account on the same computing platform. In this work we explore the flexibility of prob...

Bayesian probabilistic analysis offers a new approach to characterize semantic representations by inferring the most likely feature structure directly from the patterns of brain activity. In this study, infinite latent feature models [1] are used to recover the semantic features that give rise to the brain activation vectors when people think about properties associated with 60 concrete concept...

while sophisticated analytical methods like morgenstern-price or finite elementmethods are available for more realistic analysis of stability of slopes, assessment of the exactvalues of soil parameters is practically impossible. uncertainty in the soil parameters arisesfrom two different sources: scatter in data and systematic error inherent in the estimate of soilproperties. hence, stability o...