On data depth and the application of nonparametric multivariate statistical process control charts
- Title
- On data depth and the application of nonparametric multivariate statistical process control charts
- Author
- 배석주
- Keywords
- data depth; Hotelling T-2 statistic; Mahalanobis distance; Shewhart chart; Tukey depth
- Issue Date
- 2016-10
- Publisher
- WILEY-BLACKWELL
- Citation
- APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, v. 32, issue 5, Page. 660-676
- Abstract
- The purpose of this article is to summarize recent research results for constructing nonparametric multivariate control charts with main focus on data depth-based control charts. Data depth provides dimension reduction to high-dimensional problems in a completely nonparametric way. Several depth measures including Tukey depth are shown to be particularly effective for purposes of statistical process control in case that the data deviate normality assumption. For detecting small or moderate shifts in the process target mean, the multivariate version of the exponentially weighted moving average chart is generally robust to non-normal data, so that nonparametric alternatives may be less often required. Copyright (c) 2016 John Wiley Sons, Ltd.
- URI
- https://onlinelibrary.wiley.com/doi/full/10.1002/asmb.2186https://repository.hanyang.ac.kr/handle/20.500.11754/99082
- ISSN
- 1524-1904; 1526-4025
- DOI
- 10.1002/asmb.2186
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > INDUSTRIAL ENGINEERING(산업공학과) > Articles
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