Forecasting of autoregressive time series under censoring

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Problems of statistical forecasting are considered for autoregressive time series observed under interval censoring. Optimal forecasting statistic is proposed, its mean-square risk is evaluated. Comparison of optimal and widely used in practice forecasting statistics is made. Numerical results are given.

Autoregression, forecasting, censoring, risk

Короткий адрес: https://sciup.org/148176337

IDR: 148176337

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