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Outer and inner prediction intervals for order statistics intervals based on current records

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Abstract

This paper considers the largest and smallest observations at the times when a new record of either kind (upper or lower) occurs. These are called the upper and lower current records and are denoted by \({R^l_m}\) and \({R^s_m}\), respectively. The interval \({(R^s_m,R^l_m)}\) is then referred to as the record coverage. The prediction problem in the two-sample case is then discussed and, specifically, the exact outer and inner prediction intervals are derived for order statistics intervals from an independent future Y-sample based on the m-th record coverage from the X-sequence when the underlying distribution of the two samples are the same. The coverage probabilities of these intervals are exact and do not depend on the underlying distribution. Distribution-free prediction intervals as well as upper and lower prediction limits for spacings from a future Y-sample are obtained in terms of the record range from the X-sequence.

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Correspondence to Jafar Ahmadi.

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Ahmadi, J., Balakrishnan, N. Outer and inner prediction intervals for order statistics intervals based on current records. Stat Papers 53, 789–802 (2012). https://doi.org/10.1007/s00362-011-0383-4

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  • DOI: https://doi.org/10.1007/s00362-011-0383-4

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