In this volume consideration was given to more advanced theoretical approaches and novel applications of reliability to ensure that topics having a futuristic impact were specifically included. Topics like finance, forensics, information, and orthopedics, as well as the more traditional...

In this paper, we discuss issues that arise in the analysis of call center arrivals that are mostly linked to individual ads. More specifically, we consider the case where there is no complete linkage between the calls and the advertisements that led to the calls. The ability to model and infer...

This paper shows that multivariate distributions can be characterized as maximum entropy (ME) models based on the well-known general representation of density function of the ME distribution subject to moment constraints. In this approach, the problem of ME characterization simplifies to the...

Kullback-Leibler information is widely used for developing indices of distributional fit. The most celebrated of such indices is Akaike’s AIC, which is derived as an estimate of the minimum Kullback-Leibler information between the unknown data-generating distribution and a parametric model. In...

In this paper we present a Bayesian approach for analysis of a pulse train that is corrupted by noise and missing pulses at unknown locations. The existence of missing pulses at unknown locations complicates the analysis and model selection process. This type of hidden missingness in the pulse...

In this paper we consider the health utility index mark II for quantifying and describing a population’s health related quality of life over health states composed of multiple attributes. This measure can be used for various purposes such as evaluating the severity of the effect of a disease...

In this paper, we consider a latent Markov process governing the intensity rate of a Poisson process model for software failures. The latent process enables us to infer performance of the debugging operations over time and allows us to deal with the imperfect debugging scenario. We develop the...