http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 윤소라 ( Sora Youn ) (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
균형된 실험계획법에서 그래프를 활용한 실험의 크기의 효율적인 결정
임용빈 ( Yong B. Lim ),윤소라 ( Sora Youn ),정종희 ( Jong Hee Chung ) 한국품질경영학회 2018 품질경영학회지 Vol.46 No.3
Purpose: The algorithm described in Lim(1998) is available to determine the sample size directly given specified significance level, power and signal-to-noise ratio. We research on the efficient determination of the sample size by visual methods. Methods: We propose three graphs for investigating the mutual relationship between the sample size r, power 1- β and the detectable signal-to-noise ratio △. First graph shows the relationship between △ and 1- β for the given r and it can be checked whether the power is sufficient enough. Second graph shows the relation-ship between r and △ for the given power 1- β. Third graph shows the relationship between r and 1- β for the given △. It can be checked that which effects are sensitive to the efficient sample size by investigating those graphs. Results: In factorial design, randomized block design and the split plot design how to determine the sample size directly given specified significance level, power and signal-to-noise ratio is programmed by using R. A experiment to study the split plot design in Hicks(1982) is used as an example. We compare the sample sizes calculated by randomized block design with those by split plot design. By using graphs, we can check the possibility of reducing the sample size efficiently. Conclusion: The proposed visual methods can help an engineer to make a proper plan to reduce the sample size.
ScienceON
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
