) model against a time series of daily flows. Comparison with the SCE-UA method in this calibration context demonstrates a …

Sensitivity and specificity are common measures of the accuracy of a diagnostic test. The usual estimators of these …, possibly depending on the result of the diagnostic test and other characteristics of the subjects. Estimators of sensitivity … connecting the (sensitivity, 1? specificity) points at each cutpoint of the test using step functions and/or line segments. This …

assessing scoring systems. Its principle is to simulate virtual data using a stochastic model and, then, to estimate sensitivity …

mortality in climatic disasters, even after controlling for other determinants of sensitivity and exposure, and for per capita …

isapproached. Our results are of interest for the sake of numerical analysis,sensitivity analysis and parametric programming …

not been systematically quantified in the climate policy literature. This paper carries out a systematic assessment on the … sensitivity of Computable General Equilibrium models to technological and geographical scales in evaluating the economic impacts … should be appropriately acknowledged when applying CGE models for policy impact assessment. Our conclusions can be …

profitable every year, subsidies also play an important role in economic calculation. The paper aims to estimate the sensitivity … sensitivity analysis relies on estimated data regarding the crop in 2015/2016 and has the purpose to explore the impact of … assumptions of changes in determinants on the results measured by gross margin. The sensitivity of gross margin is the highest and …

measures. This paper investigates the sensitivity of tail-related risk measures including the Value-at-Risk, expected shortfall …