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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 제4권 제1호
- 발행연도
- 2002.1
- 수록면
- 1 - 8 (8page)
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We consider the problem of testing whether there exists a change in level at an unknown time point when a fixed number of observations are drawn successively in time. An adaptive two-stage procedure is proposed for this testing problem. The first stage is based on order statistics and the second stage is based on rank test statistics. The empirical powers of the adaptive test are compared with some rank tests through Monte Carlo simulation. The results show that the adaptive test is suitable over a wide class of underlying distributions.1. IntroductionConsider the situation where observations are generated successively and the distribution of this random sequence is subject to change in level at possibly unknown time point. Let X_1 ,cdots,X_tau ,X_tau+1 ,cdots,X_N
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