The Gibbs sampling approach is developed for Bayesian inferences and predictions in software reliability models. In many cases, a data augmentation technique for the Gibbs sampling is introduced to facilitate us in specifying conditional densities. When the conditional densities in the Gibbs...

In the masked system lifetime data, the exact component that causes the system's failure is often unknown. For each series system at test, we observe its system's failure time and a set of components that includes the component actually causing the system to fail. The objective is to make...

Given a microarray dataset consisting of two classes, type I and type II, the proposed coherent binary framework sequentially combines a gene-rank algorithm and a classifier. Genes that are expressed at a consistently high level in one type and at a consistently low level in the other type are...

When an individual player or team enjoys periods of good form, and when these occur, is a widely observed phenomenon typically called 'streakiness'. It is interesting to assess which team is a streaky team, or who is a streaky player in sports. Such competitors might have a large number of...

Since different subtypes of a cancer respond differently to the same therapy, it is important to diagnose the cancer type of a patient correctly, and then customize the treatment for that patient. DNA microarrays have recently received a great deal of attention in cancer diagnosis. Given a...