다변량 분산분석을 이용한 다중 성능 시스템의 인자 스크리닝 기법Screening Method for System with Multiple Performances Using Multivariate Analysis of Variance (MANOVA)
- Other Titles
- Screening Method for System with Multiple Performances Using Multivariate Analysis of Variance (MANOVA)
- Authors
- 김태균; 김새결; 이태희
- Issue Date
- Nov-2017
- Publisher
- 대한기계학회
- Keywords
- Analysis of Variance (분산분석); Multivariate Analysis of Variance (다변량 분산분석); Screening (스크리닝); F-test (F-검정); Type 1 error (1종 오류)
- Citation
- 대한기계학회 2017년도 학술대회, pp.1878 - 1879
- Indexed
- OTHER
- Journal Title
- 대한기계학회 2017년도 학술대회
- Start Page
- 1878
- End Page
- 1879
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/5346
- Abstract
- In design process, using all the design variables can increase degrees of freedom for design and help to improve performance of the design. However, considering all the design variables requires a lot of time and high cost. Thus, it is necessary to employ a screening method that selects the design variables which are significant for the performance. Analysis of variance (ANOVA) is one of the most commonly used screening methods. However, ANOVA is performed for each performance independently, thus it might increase the type 1 error of the results. Multivariate analysis of variance (MANOVA) analyzes multiple performances at a time so it prevents error from inflating by multiple ANOVAs. Therefore, MANOVA which is for testing the significance of design variables gives more reliable results than previous multiple ANOVAs. This paper proposes MANOVA as a design variable screening method and verifies the usefulness of MANOVA by comparing results of multiple ANOVAs and MANOVA through the example.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.