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- Belyaev, Yuri K, et al.
(author)
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Weakly approaching sequences of random distributions
- 2000
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In: Journal of Applied Probability. - Umeå : Umeå universitet. - 0021-9002 .- 1475-6072.
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Reports (peer-reviewed)abstract
- We introduce the notion of weakly approaching sequences of distributions, which is a generalization of the well-known concept of weak convergence of distributions. The main difference is that the suggested notion does not demand the existence of a limit distribution. A similar definition for conditional (random) distributions is presented. Several properties of weakly approaching sequences are given. The tightness of some of them is essential. The Cramér-Lévy continuity theorem for weak convergence is generalized to weakly approaching sequences of (random) distributions. It has several applications in statistics and probability. A few examples of applications to resampling are given.
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