Exact prediction intervals for future current records and record range from any continuous distribution
dc.Affiliation | October University for modern sciences and Arts (MSA) | |
dc.contributor.author | Barakat H.M. | |
dc.contributor.author | Nigm E.M. | |
dc.contributor.author | Aldallal R.A. | |
dc.contributor.other | Department of Mathematics | |
dc.contributor.other | Faculty of Science | |
dc.contributor.other | Zagazig University | |
dc.contributor.other | Zagazig | |
dc.contributor.other | Egypt; Department of Mathematics and Statistics | |
dc.contributor.other | MSA University | |
dc.contributor.other | Cairo | |
dc.contributor.other | Egypt | |
dc.date.accessioned | 2020-01-09T20:42:10Z | |
dc.date.available | 2020-01-09T20:42:10Z | |
dc.date.issued | 2014 | |
dc.description | Scopus | |
dc.description.abstract | In this paper, a general method for predicting future lower and upper current records and record range from any arbitrary continuous distribution is proposed. Two pivotal statistics with the same explicit distribution for lower and upper current records are developed to construct prediction intervals for future current records. In addition, prediction intervals for future observations of the record range are constructed. A simulation study is applied on normal and Weibull distributions to investigate the efficiency of the suggested method. Finally, an example for real lifetime data with unknown distribution is analysed. | en_US |
dc.description.uri | https://www.scimagojr.com/journalsearch.php?q=14054&tip=sid&clean=0 | |
dc.identifier.issn | 16962281 | |
dc.identifier.uri | https://cutt.ly/lr1gqFS | |
dc.language.iso | English | en_US |
dc.publisher | Institut d'Estadistica de Catalunya | en_US |
dc.relation.ispartofseries | SORT | |
dc.relation.ispartofseries | 38 | |
dc.subject | October University for Modern Sciences and Arts | |
dc.subject | جامعة أكتوبر للعلوم الحديثة والآداب | |
dc.subject | University of Modern Sciences and Arts | |
dc.subject | MSA University | |
dc.subject | Coverage probability | en_US |
dc.subject | Current record values | en_US |
dc.subject | Pivotal quantity | en_US |
dc.subject | Prediction interval | en_US |
dc.subject | Record range | en_US |
dc.subject | Forecasting | en_US |
dc.subject | Coverage probabilities | en_US |
dc.subject | Pivotal quantity | en_US |
dc.subject | Prediction interval | en_US |
dc.subject | Record range | en_US |
dc.subject | Record values | en_US |
dc.subject | Weibull distribution | en_US |
dc.title | Exact prediction intervals for future current records and record range from any continuous distribution | en_US |
dc.type | Article | en_US |
dcterms.isReferencedBy | Ahmadi, J., Balakrishnan, N., Distribution-free prediction intervals for order statistics based on record coverage (2011) Korean Statistical Society, 40, pp. 181-192; Ahmadi, J., Balakrishnan, N., Prediction intervals for future records (2008) Statistics & Probability Letters, 78, pp. 395-405; Ahmadi, J., Balakrishnan, N., Confidence intervals for quantiles in terms of record range (2004) Statistics & Probability Letters, 68, pp. 1955-1963; Arnold, B.C., Balakrishnan, N., Nagaraja, H.N., (1998) Records, , Wiley, New York; Basak, P., An application of record range and some characterization results (2000) Advances on Methodological and Applied Aspects of Probability and Statistics, pp. 83-95. , Balakrishnan, N. (ed.). Gordon and Breach Science Publishers, New york; Houchens, R.L., (1984) Record Value, Theory and Inference, , Ph. D. Dissertation, University of California, Riverside, CA; Raqab, M.R., Distribution-free prediction intervals for the future current record statistics (2009) Statistical Papers, 50, pp. 429-439 | |
dcterms.source | Scopus |
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