New Algorithms for Statistical Analysis ofInterval
نویسندگان
چکیده
It is known that in general, statistical analysis of interval data is an NP-hard problem: even computing the variance of interval data is, in general, NP-hard. Until now, only one case was known for which a feasible algorithm can compute the variance of interval data: the case when all the measurements are accurate enough { so that even after the measurement, we can distinguish between diierent measured values e xi. In this paper, we describe several new cases in which feasible algorithms are possible { e.g., the case when all the measurements are done by using the same (not necessarily very accurate) measurement instrument { or at least a limited number of diierent measuring instruments.
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