account for (i) damage uncertainty and (ii) the declining ability of the deep ocean to absorb atmospheric carbon. In the … change issue. We ask the question how the optimal mitigation of climate change evolves if intrinsic uncertainty about damage … is inherent to the model. In particular, we are interested in how the effect of uncertainty on climate change mitigation …

The uncertainty attendant to burden-of-illness estimates should be taken into account in comparing the public health …-specific burden-of-illness estimates. In situations wherein the magnitude of uncertainty varies, the rank order of pathogen … uncertainty in pathogen-specific foodborne-illness estimates, probabilistic risk assessment methods are used to characterize the …

effects of uncertainty influences decisions and outcomes,particularly when considering the decision-maker’s ability to manage … dichotomies), posed as a‘framework’ intended to assist leaders in dealing with uncertainty. Order, for example, istemporarily …

This paper examines the role of uncertainty and imperfect local knowledge in foreign direct investment. The main idea … comes from the literature on investment under uncertainty, such as Pindyck (1991) and Dixit and Pindyck (1994). We … economic regulations) as well as uncertainty and the risks due to imperfect local knowledge, determine the attractiveness of …

highway network that also incorporates tradeoff decisions involving uncertainty. Systemwide multiattribute utility functions … certainty, risk, or uncertainty, the software outputs match with the results of actual highway programming at least 85 percent …

variability and uncertainty of censored data sets is demonstrated. Empirical bootstrap simulation is used to simulate censored … censored data sets. Sampling distributions for uncertainty in statistics such as the mean, median and percentile are calculated … proportion of censored values in the emission factor data ranges from 4 to 80 percent. The largest range of uncertainty in the …