The research undertaken was four-fold. First, to investigate whether government policy provides protection and by … established that the industry was competitive, a sensitivity analysis was conducted to determine the extent to which feed costs … protected from imports through various instruments of government policy. Producers also had a comparative advantage in producing …

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

sensitivity of estimated treatment effects with respect to unobserved heterogeneity or failure of the common support condition …

method to investigate the sensitivity issue under the unconfoundedness assumption. We find that the estimates are not … speciously robust in the sense that the treatment effects are consistently overestimated or underestimated. Sensitivity checks …

sensitivity of production to annual weather variability. In addition to defining what it means for a sector to be sensitive to … included. In order to estimate the aggregate sensitivity of the U.S. economy to weather, Monte-Carlo simulation of the four …This thesis is based upon a series of statistical programs written in SAS. The programs can be used to evaluate the …

lead to improved treatment and thus reduce medical mistakes. The sensitivity and specificity are two important measurements … confidence interval for the sensitivity at a fixed level of specificity for the test. In this thesis, we propose three empirical … likelihood intervals for the sensitivity. Simulation studies are conducted to compare the empirical likelihood based confidence …

of sensitivity and specificity for all the possible values of the cut-point. This dissertation concentrates on …

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 …