A general algorithm for computing simultaneous prediction intervals for the (log)-location-scale family of distributions
dc.contributor.author | Xie, Yimeng | |
dc.contributor.author | Hong, Yili | |
dc.contributor.author | Meeker, William | |
dc.contributor.author | Escobar, Luis | |
dc.contributor.author | Meeker, William | |
dc.contributor.department | Statistics | |
dc.date | 2019-09-22T11:41:54.000 | |
dc.date.accessioned | 2020-07-02T06:57:38Z | |
dc.date.available | 2020-07-02T06:57:38Z | |
dc.date.copyright | Sun Jan 01 00:00:00 UTC 2017 | |
dc.date.issued | 2017-01-01 | |
dc.description.abstract | <p>Making predictions of future realized values of random variables based on currently available data is a frequent task in statistical applications. In some applications, the interest is to obtain a two-sided simultaneous prediction interval (SPI) to contain at least <em>k</em> out of <em>m</em> future observations with a certain confidence level based on <em>n</em> previous observations from the same distribution. A closely related problem is to obtain a one-sided upper (or lower) simultaneous prediction bound (SPB) to exceed (or be exceeded) by at least <em>k</em> out of <em>m</em> future observations. In this paper, we provide a general approach for computing SPIs and SPBs based on data from a particular member of the (log)-location-scale family of distributions with complete or right censored data. The proposed simulation-based procedure can provide exact coverage probability for complete and Type II censored data. For Type I censored data, our simulation results show that our procedure provides satisfactory results in small samples. We use three applications to illustrate the proposed simultaneous prediction intervals and bounds.</p> | |
dc.description.comments | <p>This is an Accepted Manuscript of an article published by Taylor & Francis as Xie, Yimeng, Yili Hong, Luis A. Escobar, and William Q. Meeker. "A general algorithm for computing simultaneous prediction intervals for the (log)-location-scale family of distributions." <em>Journal of Statistical Computation and Simulation</em> 87, no. 8 (2017): 1559-1576. DOI: <a href="http://dx.doi.org/10.1080/00949655.2016.1277426" target="_blank">10.1080/00949655.2016.1277426</a>. Posted with permission.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/stat_las_pubs/280/ | |
dc.identifier.articleid | 1263 | |
dc.identifier.contextkey | 15141694 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | stat_las_pubs/280 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/90599 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/stat_las_pubs/280/2017_MeekerWilliam_GeneralAlgorithm.pdf|||Fri Jan 14 23:10:18 UTC 2022 | |
dc.source.uri | 10.1080/00949655.2016.1277426 | |
dc.subject.disciplines | Statistics and Probability | |
dc.subject.keywords | Censored data | |
dc.subject.keywords | coverage probability | |
dc.subject.keywords | k out of m | |
dc.subject.keywords | lognormal | |
dc.subject.keywords | simulation | |
dc.subject.keywords | Weibull | |
dc.title | A general algorithm for computing simultaneous prediction intervals for the (log)-location-scale family of distributions | |
dc.type | article | |
dc.type.genre | article | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | a1ae45d5-fca5-4709-bed9-3dd8efdba54e | |
relation.isOrgUnitOfPublication | 264904d9-9e66-4169-8e11-034e537ddbca |
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