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Testing 'Two-Sided' Hypothesis about the Mean of an Interval-Valued Random Set

机译:测试关于间隔值随机集的均值的“双向”假设

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Interval-valued observations arise in several real-life situations, and it is convenient to develop statistical methods to deal with them. In the literature on Statistical Inference with single-valued observations one can find different studies on drawing conclusions about the population mean on the basis of the information supplied by the available observations. In this paper we present a bootstrap method of testing a 'two-sided' hypothesis about the (interval-valued) mean value of an interval-valued random set based on an extension of the t statistic for single-valued data. The method is illustrated by means of a real-life example.
机译:间隔值观测值出现在几种现实情况中,开发统计方法来处理它们很方便。在有关具有单值观测值的统计推断的文献中,可以根据可用观测值提供的信息得出有关总体平均值的结论,从而找到不同的研究。在本文中,我们提出了一种引导程序方法,该方法基于单值数据的t统计量的扩展来检验关于区间值随机集的(区间值)平均值的“双向”假设。该方法通过实际示例进行说明。

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