Event-driven competing risks

Event-driven and Attribute-driven Robustness

Over five decades have passed since the first wave of robust optimization studies conducted by Soyster and Falk. It is outstanding that real-life applications of robust optimization are still swept aside; there is much more potential for investigating the exact nature of uncertainties to obtain intelligent robust models. For this purpose, in this study, we investigate a more refined description...

Competing risks.

Consider a unit which can experience any one of k competing failure types, and suppose that for each unit we observe the time to failure, T , and the type of failure, C ∈ {1, 2, . . . , k}. The case of observing the pair (T, C) is termed “competing risks” in the statistical literature. After considering some examples we review basic notation and theory of competing risks. In particular we consi...

Parametric Estimation in a Recurrent Competing Risks Model

A resource-efficient approach to making inferences about the distributional properties of the failure times in a competing risks setting is presented. Efficiency is gained by observing recurrences of the compet- ing risks over a random monitoring period. The resulting model is called the recurrent competing risks model (RCRM) and is coupled with two repair strategies whenever the system fails. ...

Competing Risks Methods

eqr 067 Competing Risks

Consider a unit which can experience any one of k competing failure types, and suppose that for each unit we observe the time to failure, T , and the type of failure, C ∈ {1, 2, . . . , k}. The case of observing the pair (T, C) is termed “competing risks” in the statistical literature. After considering some examples we review basic notation and theory of competing risks. In particular we consi...