influenced and/or indicated by different factors that are termed as covariates. Hazard prediction with covariates is an elemental … notion in the reliability theory to estimate the tendency of an engineering asset failing instantaneously beyond the current … time assumed that it has already survived up to the current time. A number of statistical covariate-based hazard models …

. An extensive amount of literature on hazard models with covariates (also termed covariate models), including theory and … different risk factors, which are called covariates. The fundamental notion in reliability theory is the failure time of a …. Research shows that many statistical models have been developed to estimate the hazard of assets or individuals with covariates …

This report is concerned with the selection of routes in a network along which to transport hazardous substances … recognized in the routing decisions. Existing approaches typically assume static conditions, possibly resulting in inefficient … route selection and unnecessary risk exposure. The report described the application of recent advances in network analysis …

This paper examines the routing implications of the potential shipment of spent nuclear fuel and high-level radioactive … cross-country highway routes identified in the DOE's Final Environmental Impact Statement and three alternative routing … scenarios. The authors evaluate these routing scenarios based on four attributes: counties, exposed populations, total county …

data, IP geolocation data sets, CAJDA's Skitter data set for backbone connectivity, and BGP routing tables. We use this … the average ratio between the routing distance and geometric distance big (around 10). (3) The weighted mean hop count is …