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The minimum bias estimator of B1 in the model js here compared with the ordinary least squares estimator, the criterion of comparison being the integrated mean squared error of the corresponding estimator of η. The two estimators are shown to be extremes within a natural class and conditions are also given for the preference of one estimator over the other.
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