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Statistics with fuzzy random variables

机译:具有模糊随机变量的统计

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The notion of Fuzzy Random Variable has been introduced to model random mechanisms generating imprecisely-valued data which can be properly described by means of fuzzy sets. Probabilistic aspects of these random elements have been deeply discussed in the literature. However, statistical analysis of fuzzy random variables has not received so much attention, in spite that implications of this analysis range over many fields, including Medicine, Sociology, Economics, and so on. A summary of the fundamentals of fuzzy random variables is presented. Then, some related "parameters" associated with the distribution of these variables are defined. Inferential procedures concerning these "parameters" are described. Some recent results related to linear models for fuzzy data are finally reviewed.
机译:已引入模糊随机变量的概念来对随机机制进行建模,以生成不精确值的数据,该数据可以通过模糊集适当地描述。这些随机元素的概率方面已在文献中进行了深入讨论。但是,尽管模糊分析的含义涉及医学,社会学,经济学等许多领域,但对模糊随机变量的统计分析并未引起足够的重视。总结了模糊随机变量的基本原理。然后,定义与这些变量的分布相关联的一些相关“参数”。描述了有关这些“参数”的推论程序。最后回顾了一些与模糊数据线性模型有关的最新结果。

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