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One-sided testing for autoregressive conditional heteroskedasticity in time series models, Journal of Time Series Analysis 18 (1997), 253-277.
Our modelling approach shows that applying the ARIMA time series models to forecast injury mortality in Xiamen is feasible.
Time series models.
Linear time series models.
Nonlinear and nonstationary time series models.
Estimation and forecasting with time series models.
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Next, four time-series models constructed using the same time range.
Least absolute deviations (LAD) estimation of linear time-series models is considered under conditional heteroskedasticity and serial correlation.
There are also examples of time-series models [6, 7].
Statistical approaches include univariate, multivariate and time-series models [77].
Many previously reported methods for numerical weather prediction have been based on time-series models.
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