Titlebook: Computing Statistics under Interval and Fuzzy Uncertainty; Applications to Comp Hung T. Nguyen,Vladik Kreinovich,Gang Xiang Book 20121st ed

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Sipho Ngobeni,Hein Venter,Ivan Burkee desired statistical characteristics..To prevent privacy violations, we replace the original values of the quasiidentifier variables with ranges. For example, we divide the set of all possible ages into ranges [0, 10], [10, 20], [20, 30], etc. Then, instead of storing the actual age of 26, we only

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Hung T. Nguyen,Vladik Kreinovich,Gang XiangRecent advances in Computing Statistics under Interval and Fuzzy Uncertainty.Presents various Applications to Computer Science and Engineering

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Advances in Digital Forensics II . . . .. In the case of . ., we know the probability distributions for measurement errors corresponding to all the inputs .,..., ., and we want to find the probability distribution corresponding to the statistic .(.,..., .).

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Benjamin Rodriguez,Gilbert Peterson . .: . .. In the case of interval uncertainty, we only know the intervals, we do not know the probability distributions on these intervals. The traditional statistical approach to situations in which we have several alternatives with unknown probabilities is to use Laplace Principle of Indifference, according to which,

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Advances in Digital Forensics III: . .. When the measurement errors Δ. are relatively small, we can use a simplification called .. The main idea of linearization is as follows.

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