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標題:Robust control charts for percentiles based on location-scale family of distributions
學年107
學期1
出版(發表)日期2018/10/01
作品名稱Robust control charts for percentiles based on location-scale family of distributions
作品名稱(其他語言)
著者J-Y Chiang; YL Lio; HKT Ng; T-R Tsai
單位
出版者
著錄名稱、卷期、頁數Quality and Reliability Engineering International 34(6), p.1059-1078
摘要In this paper, robust control charts for percentiles based on location-scale family of distributions are proposed. In the construction of control charts for percentiles, when the underlying distribution of the quality measurement is unknown, we study the problem of discriminating different possible candidate distributions in the location-scale family of distributions and obtain control charts for percentiles which are insensitive to model mis-specification. Two approaches, namely, the random data-driven model selection approach and weighted modeling approach, are used to construct the robust control charts for percentiles in order to effectively monitor the manufacturing process. Monte Carlo simulation studies are conducted to evaluate the performance of the proposed robust control charts for various settings with different percentiles, false-alarm rates, and sample sizes. These proposed procedures are compared in terms of the average run length. The proposed robust control charts are applied to real data sets for the illustration of robustness and usefulness.
關鍵字control chart;discrimination;maximum likelihood estimate;percentiles
語言英文(美國)
ISSN1099-1638
期刊性質國外
收錄於SCI;Scopus;
產學合作
通訊作者
審稿制度
國別英國
公開徵稿
出版型式,電子版,紙本
相關連結
SDGs
  • 優質教育,產業創新與基礎設施
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