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by paulfharrison
160 days ago
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A note mostly about terminology: The least squares model will produce unbiassed predictions of y given x, i.e. predictions for which the average error is zero. This is the usual technical definition of unbiassed in statistics, but may not correspond to common usage. Whether x is a noisy measurement or not is sort of irrelevant to this -- you make the prediction with the information you have. |
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