Point Forecasting in Discrete Time Series Analysis

In this work we determine central and non-central coherent point forecasts of various discrete valued time series models.
Each coherent integer forecast is compared to its approximation, derived from the model representing the continuous counterpart to each respective discrete model. Several INAR(1) processes and the influence of their distribution parameters
are analyzed.