Resampling modifications for the Bagai test
- Authors
- 김영민; 하형태
- Issue Date
- 2018
- Publisher
- 한국데이터정보과학회
- Keywords
- Bagai statistic; numerical comparison; resampling methods
- Citation
- 한국데이터정보과학회지, v.29, no.2, pp.485 - 499
- Journal Title
- 한국데이터정보과학회지
- Volume
- 29
- Number
- 2
- Start Page
- 485
- End Page
- 499
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/5135
- DOI
- 10.7465/jkdi.2018.29.2.485
- ISSN
- 1598-9402
- Abstract
- In this paper, we develop resampling modifications for the Bagai statistics to test two competing risks model, and make their numerical comparisons in terms of coverage probabilities and statistical powers.We found that the bias-corrected bootstrap method consistently improves on the Jackknife, Efron's percentile bootstrap, and bootstrap-t methods in both cases of the coverage probability and statistical power. It is interesting that this results are different from the intuitive expectations in view of the convergence rates of the resampling methods. The practical importance is also discussed for the distribution free Bagai statistic to test stochastic ordering.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 사회과학대학 > 응용통계학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/5135)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.