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An exact asymptotic formula for the tail probability of a multivariate normal distribution is derived. This formula is applied to establish two asymptotic results for the maximum deviation from the mean: the weak convergence to the Gumbel distribution of a normalized maximum deviation and the...
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Using the <italic>DD</italic>-plot (depth vs. depth plot), we introduce a new nonparametric classification algorithm and call it <italic>DD</italic>-classifier. The algorithm is completely nonparametric, and it requires no prior knowledge of the underlying distributions or the form of the separating curve. Thus, it can be...
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Assuming that X1, ..., Xn is a random sample of lifetimes from a distribution with density [latin small letter f with hook] subject to random right-censoring, an estimator of the score function. [latin small letter f with hook]'(x)/[latin small letter f with hook](x), is then proposed and proved...
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