• 제목/요약/키워드: 비모수방법

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Nonparametric Method Using an Alignment Method in a Randomized Block Design with Replications (반복이 있는 랜덤화 블록 계획법에서 정렬 방법을 이용한 비모수 검정법)

  • Lee, Min-Hee;Kim, Dong-Jae
    • Communications for Statistical Applications and Methods
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    • 제19권1호
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    • pp.77-84
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    • 2012
  • 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.

비모수 퍼지회귀모형

  • Choe, Seung-Hoe;Kim, Hae-Gyeong;Seong, Na-Yeong
    • Proceedings of the Korean Statistical Society Conference
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    • 한국통계학회 2003년도 춘계 학술발표회 논문집
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    • pp.199-201
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    • 2003
  • 본 연구에서는 크리스프자료(crisp data)인 독립변수와 퍼지자료(fuzzy data)인 종속변수 사이의 관계가 특정한 함수로 표현되지 않는 비모수 퍼지회귀모형을 분석하기위하여 퍼지수 순위와 퍼지순위변환방법을 소개하고, 모의실험을 통하여 퍼지순위변환방법의 효율성을 조사한다.

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Nonparametric procedures based on aligned method and placement for ordered alternatives in randomized block design (랜덤화 블록 모형에서 정렬방법과 위치를 이용한 순서형 대립가설에 대한 비모수 검정법)

  • Kim, Hyosook;Kim, Dongjae
    • The Korean Journal of Applied Statistics
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    • 제29권4호
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    • pp.707-717
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    • 2016
  • Nonparametric procedures in a randomized block design was proposed by Friedman (1937) as a general alternative as well as suggested as a test for ordered alternatives by Page (1963). These methods are used for the rank of treatments in each block. In this paper, we proposed nonparametric procedures using aligned method proposed by Hodges and Lehmann (1962) to reduce among block information and based on placement suggested by Kim (1999) in a randomized block design. We also perform a Monte Carlo study to compare the empirical powers of the proposed procedures and established method.

유전자 알고리즘을 이용한 비모수 회귀분석

  • 김병도;노상규
    • Proceedings of the Korea Database Society Conference
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    • 한국데이타베이스학회 1998년도 국제 컨퍼런스: 국가경쟁력 향상을 위한 디지틀도서관 구축방안
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    • pp.584-594
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    • 1998
  • 선형회귀분석은 가장 널리 사용되는 데이터 분석기법이지만 독립변수와 종속변수간의 관계가 선형이라고 가정하기 때문에 문제점을 가지고 있다. 비모수 회귀분석(Nonparametric Regression)은 선형회귀분석의 문제점을 극복할 수 있는 방법으로 변수간의 관계의 형태를 미리 가정하지 않고 데이터에 의해 결정하는 방법이다. 본 연구에서는 유전자 알고리즘을 비모수 회귀분석법 중의 하나인 Regressoin Splines에 적용하였다. 인위적 데이터를 이용한 평가 결과 유전자 알고리즘은 다양한 상황에서 매우 우수한 것으로 나타났다.

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Nonparametric Multiple Comparison Procedure Using Alignment Method Under Randomized Block Design (랜덤화 블록 모형에서 정렬 방법을 이용한 비모수 다중비교법)

  • Han, Ji-Ung;Kim, Dong-Jae
    • The Korean Journal of Applied Statistics
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    • 제19권3호
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    • pp.555-564
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    • 2006
  • Friedman rank-sum multiple comparison procedure is often applied to nonparametric multiple comparison method under randomized block design. Since this method does not use between-block information, we propose, in this paper, nonparametric multiple comparison procedures employing aligned method suggested by Hedges and Lehmann(1962) under randomized block design. The proposed procedure and Friedman procedure are compared by Monte Carlo simulation study.

Nonparametric procedures using placement in randomized block design with replications (반복이 있는 랜덤화 블록 계획법의 위치를 이용한 비모수 검정법)

  • Lee, Sang-Yi;Kim, Dong-Jae
    • Journal of the Korean Data and Information Science Society
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    • 제22권6호
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    • pp.1105-1112
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    • 2011
  • Mack (1981), Skilling and Wolfe (1977, 1978) proposed typical nonparametric method in randomized block design with replications. In this paper, we proposed the procedures based on placement as extension of the two sample placement tests described in Orban and Wolfe (1982) and treatment versus control tests described in Kim (1999). Also Monte Carlo simulation study is adapted to compare power of the proposed procedure with those of previous procedures.

비모수 회귀모형의 차분에 기저한 분산의 추정에 대한 고찰

  • 김종태
    • Communications for Statistical Applications and Methods
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    • 제5권1호
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    • pp.121-131
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    • 1998
  • 이 논문의 목적은 비모수 회귀모형에 있어서의 오차의 분산을 추정하는 방법들 중 차분에 기저한 방법 (difference-based methods)을 이용한 기존의 추정량들을 비교 분석하는데 있다. 특히 점근적인 최적 이차 차분에 기저한 Hall과 Kay, Titterington(1990)의 HKT 추정량에 대한 그들의 추정량에 대한 문제점들을 제시하고, HKT추정량과, GSJS추정량, Rice추정량에 대하여 모의 실험을 이용하여 모수에 대한 수렴 속도를 비교 분석 하였다. 또한 GSJS 추정량에 대한 일치성과 수렴 속도를 보였다.

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Nonparametric method using placement in a randomized complete block design (랜덤화 블록 계획법에서 위치를 이용한 비모수 검정법)

  • Sim, Sujin;Kim, Dongjae
    • Journal of the Korean Data and Information Science Society
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    • 제24권6호
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    • pp.1401-1408
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    • 2013
  • Kim and Kim (1992) proposed typical nonparametric method for umbrella alternative in randomized block design with replications. In this paper, We consider a test procedure for umbrella alternatives in a randomized block design using extension of the two sample placement tests described in Orban and Wolfe (1982) and treatment tests described in Kim (1999). We perform a Monte Carlo study to compare the empirical powers of the test statistics for underlying distributions.

Nonparametric procedures using aligned method and joint placement in randomized block design (랜덤화 블록 계획법에서 정렬방법과 결합 위치를 이용한 비모수 검정법)

  • Jo, Sungdong;Kim, Dongjae
    • Journal of the Korean Data and Information Science Society
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    • 제24권1호
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    • pp.95-103
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    • 2013
  • Nonparametric procedure in randomized block design (RBD) was proposed by Friedman (1937) for general alternatives. Also Page (1963) suggested the test for ordered alternatives in RBD. In this paper, we proposed the new nonparametric method in randomized block design using aligned method suggested by Hodges and Lehmann (1962) and the joint placement described in Chung and Kim (2007). Also, Monte Carlo simulation study was adapted to compare the power of the proposed procedure with those of previous procedure.

Nonparametric procedures using aligned method and joint placement in randomized block design with replications (반복이 있는 랜덤화 블록 계획법에서 정렬방법과 결합위치를 이용한 비모수 검정법)

  • Lee, Eunjee;Kim, Dongjae
    • The Korean Journal of Applied Statistics
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    • 제30권2호
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    • pp.291-299
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    • 2017
  • Mack and Skillings (1980) proposed nonparametric procedures in a randomized block design with replications as general alternatives. This method is used to find the difference in the treatment effect; however, it can cause a loss of inter block information using the ranking in each block. In this paper, we proposed new nonparametric procedures in a randomized block design with replications using an aligned method proposed by Hodges and Lehmann (1962) that used information of blocks and based on the joint placement suggest by Chung and Kim (2008). We also compared the power of the test of the proposed procedures and established a method through Monte Carlo simulation.