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소표본인 경우 신뢰성 순위 척도의 고찰

원문정보

Overview of Reliability Rank Measures for Small Sample

최성운

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초록

영어

This paper presents three methods for expression of reliability measures for large and small data. First method is to express parametric estimation of cardinal reliability measure data for large sample, which requires numerous sample. Second is to obtain nonparametric distribution classification of ordinal reliability measure data for small sample. However it is difficult for field user to understand this method. Last method is to acquire parametric estimation of ordinal reliability measure data for small data. Because this method requires small sample and is comprehensive, we recommend this one among the proposed methods. Various reliability rank measures are presented.

목차

Abstract
 1. 서론
 2. 대표본, 기수(Cardinal)형 신뢰성 척도 데이터, 분포의 모수적(Parametric) 추정
  2.1 기수형 신뢰성 척도
  2.2 분포의 모수적 추정 및 적합도 검정
 3. 소표본, 순위형(Rank) 신뢰성 척도 데이터, 분포의 비모수적(Nonparametric) 분류 방법
  3.1 분포의 비모수적 분류
  3.2 분포의 비모수적 적합도 검정
 4. 소표본, 순위(Rank)형 신뢰성 척도 데이터, 분포의 모수적(Parametric)  추정
  4.1 근사 신뢰성 순위 척도 및 적합도 검정
  4.2 F(ti) = n-2c+1/i-c 근사 추정 방법
  4.3 F(ti) = n+2B+1/i+A 근사 추정 방법
  4.4 PLE(Product Limit Estimator) 근사 추정 방법
 5. 결론
 6. 참고문헌

저자정보

  • 최성운 Choi Sung woon. 경원대학교 산업공학과 교수

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자료제공 : 네이버학술정보

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