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We present a general result that allows us to combine data from two different sources of information in order to improve the efficiency of predictors within the context of multiple time series analysis. Such a result is derived from generalized least squares and is given as a combining rule that takes into account the possibility of correlation between forecasts and bias in one of them. We then specialize...
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