Time series: theory and methods
Time series: theory and methods
Time series: data analysis and theory
Time series: data analysis and theory
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A non-Gaussian autoregressive model with epsilon-skew-normal innovations is introduced. Moments and maximum likelihood estimators of the parameters are proposed and their limit distributions are derived. Monte Carlo simulation results are analysed and the model is fitted to a real time series.