reformulated with respect to statistical properties of these objectives functions (e.g. probability of exceeding certain thresholds … of two components. Firstly advanced sampling techniques are employed in order to efficiently explore the dependence of … performance statistics with respect to the design variables. For that purpose we explore parametric and non-parametric (kernel …

As part of a study aimed at estimating suburban highway needs for year 2005, models were developed for forecasting … major findings from the forecasting and distribution models for urban highway travel in year 2005. 30 refs., 3 figs., 9 tabs. …

the probability of a successful attack. This effect decreases and eventually reverses for higher levels of debt. These …

analyzing health series data and detecting anomalies: using forecasting methods to predict the next day's value, subtracting the … and analyze the performance of a variety of heuristic methods.Second, we describe improvements for the forecasting of … health data series. The application of weather as a predictor, cross-series covariates, and ensemble forecasting each provide …

increased during and after the crisis. However, we found weak support for contagion in the pre-crisis period. …

Systematic sampling is easy, efficient, and widely used, though it is not generally recognized that a systematic sample … of them determine which estimators are unbiased, when using the sampling design as the basis for inference. We describe … selection. When the population size is known at the outset, systematic sampling with unrestricted selection is most likely the …

inventory of fine woody debris (FWD); however, the sampling protocols involve tallying only the number of FWD pieces by size … class that intersect a sampling transect with no measure of actual size. The line intersect estimator used with those … samples requires a measurement of the quadratic mean diameter (QMD). Published information regarding appropriate QMDs by FWD …