influenced and/or indicated by different factors that are termed as covariates. Hazard prediction with covariates is an elemental … time assumed that it has already survived up to the current time. A number of statistical covariate-based hazard models …. This paper introduces a novel covariate-based hazard model to address this concern. This model is named as Explicit Hazard …

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 …. An extensive amount of literature on hazard models with covariates (also termed covariate models), including theory and …

Asia and the Pacific? This paper considers three main disaster risk factors - rising population exposure, greater …. In a regression analysis within a model of disaster risk determination, the most significant association is between the …

hazard prone industries. To maintain safety in workplace timely assessment of risk associated with different operations … hybrid risk assessment approach for mining industry. Design/Methodology: Accident data from 1995 to 2012 is reviewed to … identify hazards contributed to negative outcomes. The FRA approach is implemented to evaluate the risk levels associated with …

community-level factors that may influence a couple's risk of divorce: Socioeconomic conditions, the local marriage market, and … the normative climate. Discrete-time hazard models with community-level fixed effects are estimated using a register … drive divorce rates down but that economic conditions do not matter for divorce risk. Estimates obtained from regular models …