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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제12권 제5호
- 발행연도
- 2010.1
- 수록면
- 2,431 - 2,442 (12page)
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In this paper, we consider nonparametric test procedures based on a group of quantile test statistics. Since we do not assume any specific model, this new nonparametric tests may be useful when the underlying distributions are completely unknown. We consider the quadratic form of statistic for the general alternatives and derive the chi-square distribution as the limiting distribution for the large sample case. Then we illustrate our procedure with an example and compare the proposed tests with the individual quantile tests by obtaining empirical powers through simulation study by applying the permutation principle. Also we comment on the related discussions to this testing procedure as concluding remarks.
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참고문헌 (21)
참고문헌 신청
Chi, Y. / 2001 / Some versatile tests based on the simultaneous use of weighted logrank and weighted Kaplan-Meier statistics / Communications in Statistics-Simulation and Com
Cox, D. R. / 1972 / Regression models and life-tables (with discussions) / Journal of Royal Statistical Society B 34 : 187 ~ 220
Cox, D. R. / 1983 / Analysis of Survival Data / Chapman and Hall
Efron, B. / 1979 / Bootstrap methods: another look at the jackknife / Annals of Statistics 7 : 1 ~ 26
Fleming, T. R. / 1987 / Supremum versions of the logrank and generalized Wilcoxon statistics / Journal of American Statistical Association 82 : 312 ~ 320
Cox, D. R. / 1972 / Regression models and life-tables (with discussions) / Journal of Royal Statistical Society B 34 : 187 ~ 220
Cox, D. R. / 1983 / Analysis of Survival Data / Chapman and Hall
Efron, B. / 1979 / Bootstrap methods: another look at the jackknife / Annals of Statistics 7 : 1 ~ 26
Fleming, T. R. / 1987 / Supremum versions of the logrank and generalized Wilcoxon statistics / Journal of American Statistical Association 82 : 312 ~ 320
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