On the consistency of a spatial-type interval-valued median for random intervals
classification
📊 stat.ME
keywords
interval-valuedmedianrandomsamplethetaestimatorspatial-typevariable
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The sample $d_\theta$-median is a robust estimator of the central tendency or location of an interval-valued random variable. While the interval-valued sample mean can be highly influenced by outliers, this spatial-type interval-valued median remains much more reliable. In this paper, we show that under general conditions the sample $d_\theta$-median is a strongly consistent estimator of the $d_\theta$-median of an interval-valued random variable.
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