Forecasting from fallible data: Correcti
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T. D. Stanley
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Article
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1988
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John Wiley and Sons
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English
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In the presence of fallible data, standard estimation and forecasting techniques are biased and inconsistent. Surprisingly, the magnitude of this bias tends to increase, arid not diminish, in time series applications as more observations become available. A solution to this ever-present problem, Ste