Mixture transition distribution (MTD) time series models build high-order dependence through a weighted combination of first-order densities for each one specified number lags. We present framework to construct stationary MTD that extend beyond linear, Gaussian dynamics. study conditions strict stationarity which allow different constructions with either continuous or discrete families the give...

A Discrete Event System (DES) simulation and optimization model is proposed for the ambulance allocation problem in an Emergency Medical Service (EMS) system. The accuracy of was improved by estimation input parameters using Poisson mixture Expectation Maximization Algorithm. results were proven Mann–Whitney Kolmogorov–Smirnov tests. DES run OptQuest program embedded Arena software. response ti...

We consider independent sampling from a two-component mixture distribution, where one component (called the parametric component) is from a known distributional family and the other component (called the non-parametric component) is unknown. This is a semi-parametric mixture distribution. We discretize the non-parametric component and estimate the parameters of this mixture model, namely the mi...