Linear regression forecasting in the pre
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Abdul Latif; Maxwell L. King
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Article
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1993
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John Wiley and Sons
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English
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This paper is concerned with time-series forecasting based on the linear regression model in the presence of AR(1) disturbances. The standard approach is to estimate the AR(1) parameter, p, and then construct forecasts assuming the estimated value is the true value. We introduce a new approach which