Statistical Analysis of Poisson Conditionally Nonlinear Autoregressive Time Series by Frequencies-Based Estimators

Abstract

Poisson conditionally nonlinear autoregressive model is proposed for integer-valued time series. Frequencies-based estimators (FBE) for model parameters, statistical forecasting statistics, and statistical tests for this model are constructed; their performance is analyzed theoretically and by computer experiments on simulated and real data.