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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.3
- 수록면
- 485 - 499 (15page)
- DOI
- 10.7465/jkdi.2018.29.2.485
이용수
초록· 키워드
오류제보하기
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 bootstrapt 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.
목차
Abstract
1. Introduction
2. Resampling-modied Bagai statistic
3. Numerical Comparisons
4. Results
References
참고문헌 (15)
참고문헌 신청
[학술지(정기간행물)] - Bagai, I. / 1989 / Distribution free tests for stochastic ordering in the competing risks model / Biometrika 76 : 775 ~ 781
[학술지(정기간행물)] - Carpenter, J. / 2000 / Bootstrap confidence intervals: When, which, what? A practical guide for medical statisticians / Statistics in Medicine 19 : 1141 ~ 1164
[학술지(정기간행물)] - 최영훈 / 2017 / 3×3 분할요인모형의 검정력 비교연구 / 한국데이터정보과학회지 28 (1) : 143 ~ 152
[학술지(정기간행물)] - Diciccio, T. J. / 1988 / A review of bootstrap confidence intervals / Journal of the Royal Statistical Society B 50 : 338 ~ 354
[학술지(정기간행물)] - Efron, B. / 1979 / Bootstrap methods: Another look at the jackknife / The Annals of Statistics 7 : 1 ~ 26
[학술지(정기간행물)] - Carpenter, J. / 2000 / Bootstrap confidence intervals: When, which, what? A practical guide for medical statisticians / Statistics in Medicine 19 : 1141 ~ 1164
[학술지(정기간행물)] - 최영훈 / 2017 / 3×3 분할요인모형의 검정력 비교연구 / 한국데이터정보과학회지 28 (1) : 143 ~ 152
[학술지(정기간행물)] - Diciccio, T. J. / 1988 / A review of bootstrap confidence intervals / Journal of the Royal Statistical Society B 50 : 338 ~ 354
[학술지(정기간행물)] - Efron, B. / 1979 / Bootstrap methods: Another look at the jackknife / The Annals of Statistics 7 : 1 ~ 26
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