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Computing Statistics under Interval and Fuzzy Uncertainty Rutilius Taurus Aemilianus verglichen mit jenen Paaren

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Computing Statistics under Interval and Fuzzy Uncertainty Rutilius Taurus Aemilianus verglichen mit jenen PaarenIn many practical situations, we are interested in statistics characterizing a population of objects: e. g. in the mean height of people from a certain area. Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and measurements are never absolutely accurate. Sometimes, we know the exact probability distribution of the measurement inaccuracy, but often, we only know

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