Weak and strong quantile representations for randomly truncated data with applications
dc.citation.epage | 148 | en_US |
dc.citation.issueNumber | 2 | en_US |
dc.citation.spage | 139 | en_US |
dc.citation.volumeNumber | 17 | en_US |
dc.contributor.author | Gürler, Ü. | en_US |
dc.contributor.author | Stute, W. | en_US |
dc.contributor.author | Wang, J. L. | en_US |
dc.date.accessioned | 2015-07-28T11:56:07Z | |
dc.date.available | 2015-07-28T11:56:07Z | |
dc.date.issued | 1993-05-26 | en_US |
dc.department | Department of Industrial Engineering | en_US |
dc.description.abstract | Suppose that we observe bivariate data (X,. q) only when Y, < Xi (left truncation). Denote with F the marginal d.f. of the X’s In this paper we derive a Bahadur-type representation for the quantile function of the pertaining product-limit estimator of F. As an application we obtain confidence intervals and bands for quantiles of F. | en_US |
dc.description.provenance | Made available in DSpace on 2015-07-28T11:56:07Z (GMT). No. of bitstreams: 1 10.1016-0167-7152(93)90008-7.pdf: 617514 bytes, checksum: 4c3ea692225b660eae87178702f6ab95 (MD5) | en |
dc.identifier.doi | 10.1016/0167-7152(93)90008-7 | en_US |
dc.identifier.issn | 0167-7152 | |
dc.identifier.uri | http://hdl.handle.net/11693/10859 | |
dc.language.iso | English | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1016/0167-7152(93)90008-7 | en_US |
dc.source.title | Statistics and Probability Letters | en_US |
dc.subject | Survival function | en_US |
dc.subject | Truncated data | en_US |
dc.subject | Bahadur representation | en_US |
dc.subject | Confidence interval | en_US |
dc.subject | Product-limit estimator | en_US |
dc.title | Weak and strong quantile representations for randomly truncated data with applications | en_US |
dc.type | Article | en_US |
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