教師資料查詢 | 類別: 期刊論文 | 教師: 蔡宗儒 TZONG-RU TSAI (瀏覽個人網頁)

標題:Robust bootstrap control charts for percentiles based on model selection approaches
學年107
學期1
出版(發表)日期2018/09/01
作品名稱Robust bootstrap control charts for percentiles based on model selection approaches
作品名稱(其他語言)
著者Jyun-YouChiang; Y.L. Lio; H.K.T.Ng; Tzong-RuTsai; Ting Li
單位
出版者
著錄名稱、卷期、頁數Computers and Industrial Engineering 123, p.119-133
摘要This paper presents two model selection approaches, namely the random data-driven approach and the weighted modeling approach, to construct robust bootstrap control charts for process monitoring of percentiles of the shape-scale class of distributions under model uncertainty. The generalized exponential, lognormal and Weibull distributions are considered as candidate distributions to establish the proposed process control procedures. Monte Carlo simulations are conducted with various combinations of the percentiles, false-alarm rates and sample sizes to evaluate the performance of the proposed robust bootstrap control charts in terms of the average run lengths. Simulation results exhibit that the two proposed robust model selection approaches perform well when the underlying distribution of the quality characteristic is unknown. Finally, the proposed process monitoring procedures are applied to two data sets for illustration.
關鍵字Bootstrap control chart;Maximum likelihood estimate;Model discrimination;Percentiles;Shape-scale distribution
語言英文(美國)
ISSN
期刊性質國外
收錄於SCI;
產學合作
通訊作者J-Y Chiang
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版
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