Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
A Test Procedure for Right Censored Data under the Additive Model
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 박효일 | - |
| dc.contributor.author | 홍승만 | - |
| dc.date.accessioned | 2021-09-08T23:09:13Z | - |
| dc.date.available | 2021-09-08T23:09:13Z | - |
| dc.date.created | 2021-06-17 | - |
| dc.date.issued | 2009 | - |
| dc.identifier.issn | 2287-7843 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/121481 | - |
| dc.description.abstract | In this research, we propose a nonparametric test procedure for the right censored and grouped data under the additive hazards model. For deriving the test statistics, we use the likelihood principle. Then we illustrate proposed test with an example and compare the performance with other procedure by obtaining empirical powers. Finally we discuss some interesting features concerning the proposed test. | - |
| dc.language | English | - |
| dc.language.iso | en | - |
| dc.publisher | 한국통계학회 | - |
| dc.title | A Test Procedure for Right Censored Data under the Additive Model | - |
| dc.title.alternative | A Test Procedure for Right Censored Data under the Additive Model | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 홍승만 | - |
| dc.identifier.bibliographicCitation | Communications for Statistical Applications and Methods, v.16, no.2, pp.325 - 334 | - |
| dc.relation.isPartOf | Communications for Statistical Applications and Methods | - |
| dc.citation.title | Communications for Statistical Applications and Methods | - |
| dc.citation.volume | 16 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 325 | - |
| dc.citation.endPage | 334 | - |
| dc.type.rims | ART | - |
| dc.identifier.kciid | ART001329412 | - |
| dc.description.journalClass | 2 | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Additive hazards model | - |
| dc.subject.keywordAuthor | grouped data | - |
| dc.subject.keywordAuthor | log-rank test | - |
| dc.subject.keywordAuthor | score function | - |
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Public Policy > Division of Big Data Science > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.