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Statistical inference about the median from vague data. (English) Zbl 0945.62038
Summary: In traditional statistics all parameters of the mathematical model and possible observations should be well defined. Sometimes such assumption appears too rigid for the real-life problems, especially when dealing with imprecise or linguistic data. To relax this rigidity fuzzy methods are incorporated into statistics. This paper is devoted to statistical inference about the population median in the presence of vague data. We propose the notion of fuzzy median. Then we suggest a fuzzy estimator and fuzzy confidence interval for the median. Next we discuss the problem of hypothesis testing concerning the median in the presence of imprecise data. All methods presented are distribution-free.

MSC:
62G05 Nonparametric estimation
62G15 Nonparametric tolerance and confidence regions
62G99 Nonparametric inference
62G10 Nonparametric hypothesis testing
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