Abstract
Computing statistics under probabilistic uncertainty. In the case of probabilistic uncertainty, we know the probability distributions for measurement errors corresponding to all the inputs x1,..., x n , and we want to find the probability distribution corresponding to the statistic C(x1,..., x n ).
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© 2012 Springer-Verlag Berlin Heidelberg
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Nguyen, H.T., Kreinovich, V., Wu, B., Xiang, G. (2012). Computing Statistics under Probabilistic and Interval Uncertainty: A Brief Description. In: Computing Statistics under Interval and Fuzzy Uncertainty. Studies in Computational Intelligence, vol 393. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24905-1_2
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DOI: https://doi.org/10.1007/978-3-642-24905-1_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24904-4
Online ISBN: 978-3-642-24905-1
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