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Exchangeability and convergence for random sets

机译:随机集的可交换性和收敛性

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摘要

In many statistical analysis some kind of dependency of random variables may be required, and exchangeability as an alternative to the random sample with independent, identically distributed random variables gives the study of asymptotic properties of random variables. On the other hand, statistical estimators are expressible of the linear form of random variables, which involves possibly random weights and possibly functions of dependent random variables which are permutation invariant with respect to distributions. This paper attempts to provide some properties useful to the limit theorems and laws of large numbers for arrays of Banach spaced valued fuzzy random sets are examined with emphasis on permutation invariance among the random sets. (C) 2001 Elsevier Science Inc. All rights reserved. [References: 38]
机译:在许多统计分析中,可能需要某种类型的随机变量相关性,并且作为具有独立且均匀分布的随机变量的随机样本的可替换性,可以研究随机变量的渐近性质。另一方面,统计估计量可以表示为随机变量的线性形式,它可能涉及随机权重,也可能涉及因随机变量的函数,这些因变量相对于分布而言是不变的。本文试图提供一些对极限定理有用的性质,并研究了Banach间隔值模糊随机集数组的大数定律,并着重研究了随机集之间的置换不变性。 (C)2001 Elsevier Science Inc.保留所有权利。 [参考:38]

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