Communications for Statistical Applications and Methods

  • 제19권1호
  • /
  • Pages.77-84
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  • 2012
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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반복이 있는 랜덤화 블록 계획법에서 정렬 방법을 이용한 비모수 검정법

Nonparametric Method Using an Alignment Method in a Randomized Block Design with Replications

  • 이민희 (가톨릭대학교 의학통계학과) ;
  • 김동재 (가톨릭대학교 의학통계학과)
  • Lee, Min-Hee (Department of Biostatistics, Catholic University) ;
  • Kim, Dong-Jae (Department of Biostatistics, Catholic University)
  • 투고 : 20111000
  • 심사 : 20111100
  • 발행 : 2012.01.30
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초록

반복이 있는 랜덤화 블록 계획법을 검정하는 비모수 검정방법에는 Mack과 Skillings (1980)가 제안한 검정법이 있다. 이 방법은 각 블록의 처리에서 반복된 각 관측값 대신에 반복된 관측값들의 평균을 이용하여 순위를 매기기 때문에 정보의 손실이 있을 수 있다. 본 논문에서는 Hodges와 Lehmann (1962)이 제안한 정렬방법을 이용하여 새로운 비모수 검정법을 제안한다. 또한 모의실험을 통하여 여러 비모수 검정방법들의 검정력을 비교하였다.

Mack and Skillings (1980) proposed a typical nonparametric method in a randomized block design with replications. However, this method may lose information because of the use of average observations instead of individual observations. In this paper, we proposed a nonparametric method that employed an aligned method suggested by Hodges and Lehmann (1962) under a randomized block design with replications. In addition, the comparative results of a Monte Carlo power study are presented.

키워드

참고문헌

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