This article discusses the problem of predicting future progressive Type-II right censored order statistics based on progressive Type-II right-censored, ordered statistics, record values and current records that observed from the past X-sequence. Such coverage probabilities of the prediction intervals are exact and don’t depend on the sampling distribution F. Finally, a real life time data were given to breakdown the insulating fluid between electrodes which is used to illustrate the derived results.
Published in | American Journal of Theoretical and Applied Statistics (Volume 4, Issue 5) |
DOI | 10.11648/j.ajtas.20150405.13 |
Page(s) | 329-338 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Prediction Intervals, Progressive Censoring, Order Statistics, Records, Coverage Probability, Prediction Coefficient
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APA Style
M. M. Mohie El-Din, M. S. Kotb, W. S. Emam. (2015). Prediction Intervals for Progressive Type-II Right-Censored Order Statistics from Two Independent Sequences. American Journal of Theoretical and Applied Statistics, 4(5), 329-338. https://doi.org/10.11648/j.ajtas.20150405.13
ACS Style
M. M. Mohie El-Din; M. S. Kotb; W. S. Emam. Prediction Intervals for Progressive Type-II Right-Censored Order Statistics from Two Independent Sequences. Am. J. Theor. Appl. Stat. 2015, 4(5), 329-338. doi: 10.11648/j.ajtas.20150405.13
AMA Style
M. M. Mohie El-Din, M. S. Kotb, W. S. Emam. Prediction Intervals for Progressive Type-II Right-Censored Order Statistics from Two Independent Sequences. Am J Theor Appl Stat. 2015;4(5):329-338. doi: 10.11648/j.ajtas.20150405.13
@article{10.11648/j.ajtas.20150405.13, author = {M. M. Mohie El-Din and M. S. Kotb and W. S. Emam}, title = {Prediction Intervals for Progressive Type-II Right-Censored Order Statistics from Two Independent Sequences}, journal = {American Journal of Theoretical and Applied Statistics}, volume = {4}, number = {5}, pages = {329-338}, doi = {10.11648/j.ajtas.20150405.13}, url = {https://doi.org/10.11648/j.ajtas.20150405.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150405.13}, abstract = {This article discusses the problem of predicting future progressive Type-II right censored order statistics based on progressive Type-II right-censored, ordered statistics, record values and current records that observed from the past X-sequence. Such coverage probabilities of the prediction intervals are exact and don’t depend on the sampling distribution F. Finally, a real life time data were given to breakdown the insulating fluid between electrodes which is used to illustrate the derived results.}, year = {2015} }
TY - JOUR T1 - Prediction Intervals for Progressive Type-II Right-Censored Order Statistics from Two Independent Sequences AU - M. M. Mohie El-Din AU - M. S. Kotb AU - W. S. Emam Y1 - 2015/08/03 PY - 2015 N1 - https://doi.org/10.11648/j.ajtas.20150405.13 DO - 10.11648/j.ajtas.20150405.13 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 329 EP - 338 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.20150405.13 AB - This article discusses the problem of predicting future progressive Type-II right censored order statistics based on progressive Type-II right-censored, ordered statistics, record values and current records that observed from the past X-sequence. Such coverage probabilities of the prediction intervals are exact and don’t depend on the sampling distribution F. Finally, a real life time data were given to breakdown the insulating fluid between electrodes which is used to illustrate the derived results. VL - 4 IS - 5 ER -