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Titlebook: Analytical Methods in Probability Theory; Proceedings of the C Daniel Dugué,Eugene Lukacs,Vijay K. Rohatgi Conference proceedings 1981 Spri

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楼主: 大口水罐
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Almost certain behavior of row sums of double arrays, outcome depends upon additional stochastic assumptions. Two alternative sets of stochastic constraints are imposed and the behavior of .under each is analyzed and contrasted. Finally, the case of exponential random variables is considered briefly.
发表于 2025-3-23 17:22:51 | 显示全部楼层
On a test for goodness-of-fit based on the empirical probability measure of Foutz and testing for ecal probability measure, ., the proposed test is based on the supremum of the absolute differences between hypothesized and empirical probabilities, the supremum being taken over all possible events. He showed that his test statistic was distribution free in the general p-variate case and derived it
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Self-decomposable discrete distributions and branching processes,distributions on the set ℕ. of nonnegative integers. To each of them corresponds an analogue of multiplication (in distribution) that preserves ℕ.-valuedness and is characterized by a composition semigroup of probability generating functions, such as occur in branching processes.
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An application of the method of moments to the central limit theorem on hyperbolic spaces,riant probability measures on G. The differentiability of this Fourier transform enables us to introduce the notion of variance. Moreover, continuous convolution semigroups of probability measures admit a Lévy-Khintchine representation, and so Gaussian semi-groups can be defined via their Fourier tr
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Almost certain behavior of row sums of double arrays,the X. assume only the values zero and one. If k.p., the expected number of successes, grows more rapidly than C log n, then .converges almost certainly to one. However, when the expected number of successes grows less rapidly than C log n, it no longer determines the asymptotic behavior of .and the
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On the unimodality of infinitely divisible distribution functions II, Recently, a few results have been obtained for multivariate infinitely divisible distribution functions. The purpose of this paper is to give a survey of previous work and to discuss some unsolved problems.
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