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Outer and inner prediction intervals for order statistics intervals based on current records
Authors:Jafar Ahmadi  N. Balakrishnan
Affiliation:1. Department of Statistics, Ordered and Spatial Data Center of Excellence, Ferdowsi University of Mashhad, P. O. Box 91775-1159, Mashhad, Iran
2. Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, L8S 4K1, Canada
3. Visiting Professor of King Saud University, Riyadh, Saudi Arabia
4. National Center University, Jhongli, Taiwan
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.
Keywords:
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