Outer and inner prediction intervals for order statistics intervals based on current records |
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Authors: | Jafar Ahmadi N. Balakrishnan |
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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
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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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