The hazard function is a key component in the inferential process in survival analysis and relevant for describing the pattern of failures. However, it is rarely shown in research papers due to the difficulties in nonparametric estimation. We developed the bshazard package to facilitate the computation of a nonparametric estimate of the hazard function, with data-driven smoothing. The method ac...

The definition of hazard area, centered inside the LNG stations, is essential for risk assessment in LNG industry. In this study, computational fluid dynamics (CFD) simulations have been conducted for the two main LNG hazards, LNG flammable vapor dispersion and LNG pool fire radiation, to determine the hazard exclusion area. The spatial and temporal distribution of hazard in complex spill scena...

Over the decades, testing for equivalence of hazard functions has received a wide attention in survival analysis. In this paper, we proposed a Bayesian test to address this testing equivalence problem, Most of all, proposed test is methodologically flexible so that a procedure determining weights is not required when the proportional assumption is violated. In comparison with popularly exploite...

Abstract. Unmanned ground vehicles have important applications in high speed, rough terrain scenarios. In these scenarios unexpected and dangerous situations can occur that require rapid hazard avoidance maneuvers. At high speeds, there is limited time to perform navigation and hazard avoidance calculations based on detailed vehicle and terrain models. This paper presents a method for high spee...

LibQA is a quality assurance tool for VHDL synthesis and simulation models which also performs timing characterization. The synthesis model is translated into an FSM, then graph exploration generates stimuli for VHDL and electrical simulation. Function, propagation delay, timing constraint violation, and hazard response are all tested.

An efficient estimate for the change point in the hazard function is obtained. This is based on a Bayesian estimator which uses equations concerning the parameters of a recently proposed hazard function. It is found through a simulation study that the proposed estimator is more efficient than the traditional estimators in many cases. Furthermore, experimental results that use data of breast can...

The main motivation for this paper is the recognition of the fact that asymmetric information in the form of moral hazard and adverse selection results in sizeable efficiency losses. These costs are passed back to producers in the form of excessively high premium rates and also passed back to the government via the crop insurance subsidy program. A secondary motivation stems from a recent debat...

Here we study hierarchical Bayesian estimation of a monotone hazard rate for both complete and randomly right censored data. We propose two methods of computation: Monte-Carlo importance sampling and Laplace approximation techniques. These methods are computationally simple and easily implemented on complex hazard functions. They are compared in simulation studies with uncensored and censored d...

Computational disaster mitigation and reduction research unit is aimed at developing advanced largescale numerical simulation of natural disasters such as an earthquake, tsunami and heavy rain, for Kobe City and other urban areas in Hyogo Prefecture. Besides for the construction of a sophisticated urban area model and the development of new numerical codes, the unit seeks to be a bridge between...

Asynchronous design methodologies can yield designs that are smaller, and/or consume less power, than their synchronous counterparts. Traditional tools, oriented toward synchronous designs, may miss critical asynchronous design problems. This paper describes the modeling methodology and hazard analysis of the SIMIC logic simulator that address asynchronous designs. It also describes XPOWER, an ...