Major accidents are low frequency high consequence events which are not well supported
by conventional statistical methods due to data scarcity. In the absence or shortage of major …

In the context of natural-technological (natech) accidents, flood-induced damage of
industrial plants have received relatively less attention mainly due to the scarcity of such …

Due to a scarcity of data, the estimate of the frequency of a rare event is a consistently
challenging problem in probabilistic risk assessment (PRA). However, the use of precursor …

In the field of risk and reliability analysis, the information available to acquire probabilities is
usually insufficient (ie scarce, little). Utilizing a variety of information sources introduces …

Safety analysis of rare events with potentially catastrophic consequences is challenged by
data scarcity and uncertainty. Traditional causation‐based approaches, such as fault tree …

Approximately 11% of the world's population lives within 10 km of an ocean coastline, a
percentage that is likely to increase during the remainder of the 21st century due to …

This paper proposes a new probabilistic approach for safety-related systems design based
on modeling accident scenarios with databases where missing data is a major concern. The …

Rare events often result in large impacts and are hard to predict. Risk analysis of such
events is a challenging task because there are few directly relevant data to form a basis for …

Measuring the performance of infrastructure networks is critical to the allocation of resources
before, during, and after a system's disruption. However, the lack of data often hinders the …

Major accidents are low-frequency, high-consequence accidents which are not well
supported by conventional statistical methods due to the scarcity of directly relevant data …