Titlebook: Combining Soft Computing and Statistical Methods in Data Analysis; Christian Borgelt,Gil González-Rodríguez,Olgierd H Conference proceedin

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languid

https://doi.org/10.1007/BFb0092907ation about the uncertainty model is only a partial conditional probability assessment .. We select a risk neutral probability minimizing a discrepancy measure between . and the convex set of all possible risk neutral probabilities.

NOVA

More General Spaces and Their Applications,eability assumption, precise probabilities for some events involving one or more future observations are defined, based on which lower and upper probabilities can be derived for all other events of interest. We present NPI for the .-th order statistic of . future real-valued observations and its use for comparison of two groups of data.

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Jong-Hwan Kim,Yong-Jae Kim,Kiam-Tian Seowamble. As a natural consequence, we derive a general definition of median, providing it with a behavioral meaning. Furthermore, we show that, when we restrict to absolutely continuous probability distributions, a random variable is statistically preferred to another one if and only if the the median of their difference is positive.

hangdog

Conference proceedings 2010precision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) but also in the form of imprecision/fuzziness is but one point underlining the need for a widening of statistical tools.

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1867-5662 Statistics (SMPS‘2010) held in Oviedo and Mieres , AsturiasOver the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situation