Ticket queues arise often in public and private sector operations. The service providers in ticket queues have limited information on customer abandonments because abandonment time data is interval censored. The censored nature of data poses challenges in modeling and analysis of abandonments...

Ticket queues are prevalent in service industries. They enhance customer satisfaction by eliminating physical lines, but may compromise efficiency (i.e., service completion probability). Existing studies offer mixed results on the cause and magnitude of such inefficiency. These results, however,...

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...