Publication Date



Technical Report: UTEP-CS-20-76d


In many real-life situations, we know the general form of the dependence y = f(x, c1, ..., cm) between physical quantities, but the values need to be determined experimentally, based on the results of measuring x and y. In some cases, we do not get any result of measuring y since the actual value is outside the range of the measuring instrument. Usually, such cases are ignored. In this paper, we show that taking these cases into account can help data processing -- by improving the accuracy of our estimates of ci and thus, by improving the accuracy of the resulting predictions of y.

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