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 en_US
ISSN 1099-1638
期刊性質 國外
收錄於 SCI Scopus
產學合作
通訊作者
審稿制度 是
國別 GBR
公開徵稿
出版型式 ,電子版,紙本
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121819 )

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