Estimating the parameters of mixed shifted negative binomial distributions via an EM algorithm
Akhavan-Tabatabaei, Raha (2018) Estimating the parameters of mixed shifted negative binomial distributions via an EM algorithm. (Accepted/In Press)
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Discrete Phase-Type (DPH) distributions have one property that is not shared by Continuous Phase-Type (CPH) distributions, i.e., representing a deterministic value as a DPH random variable. This property distinguishes the application of DPH in stochastic modeling of real-life problems, such as stochastic scheduling, in which service time random variables should be compared with a deadline that is usually a constant value. In this paper, we consider a restricted class of DPH distributions, called Mixed Shifted Negative Binomial (MSNB), and show its
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