Adaptive Charting Schemes Based on Double Sequential Probability Ratio Tests
被引:16
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作者:
Li, Yan
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机构:
E China Normal Univ, Sch Finance & Stat, Shanghai 200241, Peoples R ChinaE China Normal Univ, Sch Finance & Stat, Shanghai 200241, Peoples R China
Li, Yan
[1
]
Pu, Xiaolong
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机构:
E China Normal Univ, Sch Finance & Stat, Shanghai 200241, Peoples R ChinaE China Normal Univ, Sch Finance & Stat, Shanghai 200241, Peoples R China
Pu, Xiaolong
[1
]
Tsung, Fugee
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机构:
Hong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R ChinaE China Normal Univ, Sch Finance & Stat, Shanghai 200241, Peoples R China
Tsung, Fugee
[2
]
机构:
[1] E China Normal Univ, Sch Finance & Stat, Shanghai 200241, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China
double sequential probability ratio test (2-SPRT);
control charts;
variable sampling size (VSS);
average time to signal (ATS);
average number of observations to signal (ANOS);
Gaussian quadrature;
VARIABLE SAMPLING INTERVALS;
KIEFER-WEISS PROBLEM;
DESIGN;
SIZE;
D O I:
10.1002/qre.938
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
Sequential probability ratio test (SPRT) control charts are shown to be able to detect most shifts in the mean or proportion substantially faster than conventional charts such as CUSUM charts. However, they are limited in applications because of the absence of the upper bound on the sample size and possibly large sample numbers during implementation. The double SPRT (2-SPRT) control chart, which applies a 2-SPRT at each sampling point, is proposed in this paper to solve some of the limitations of SPRT charts. Approximate performance measures of the 2-SPRT control chart are obtained by the backward method with the Gaussian quadrature in a computer program. On the basis of two industrial examples and simulation comparisons, we conclude that the 2-SPRT chart is competitive in that it is more sensitive and economical for small shifts and has advantages in administration because of fixed sampling points and a proper upper bound on the sample size. Copyright (C) 2008 John Wiley & Sons, Ltd.
机构:
Univ Molise, Dept Human Social & Educ Sci, Via Sanctis, I-86100 Campobasso, ItalyUniv Molise, Dept Human Social & Educ Sci, Via Sanctis, I-86100 Campobasso, Italy
Cozzolino, Marilena
Mauriello, Paolo
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Univ Molise, Dept Human Social & Educ Sci, Via Sanctis, I-86100 Campobasso, ItalyUniv Molise, Dept Human Social & Educ Sci, Via Sanctis, I-86100 Campobasso, Italy
机构:
Can Tho Univ, Nat Sci Coll, Can Tho, VietnamCan Tho Univ, Nat Sci Coll, Can Tho, Vietnam
Pham-Toan, D.
Vo-Van, T.
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Can Tho Univ, Nat Sci Coll, Can Tho, VietnamCan Tho Univ, Nat Sci Coll, Can Tho, Vietnam
Vo-Van, T.
Pham-Chau, A. T.
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机构:
Ton Duc Thang Univ, Inst Computat Sci, Div Computat Math & Engn, Ho Chi Minh City, Vietnam
Ton Duc Thang Univ, Fac Math & Stat, Ho Chi Minh City, VietnamCan Tho Univ, Nat Sci Coll, Can Tho, Vietnam
Pham-Chau, A. T.
Nguyen-Trang, T.
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机构:
Ton Duc Thang Univ, Inst Computat Sci, Div Computat Math & Engn, Ho Chi Minh City, Vietnam
Ton Duc Thang Univ, Fac Math & Stat, Ho Chi Minh City, VietnamCan Tho Univ, Nat Sci Coll, Can Tho, Vietnam
Nguyen-Trang, T.
Ho-Kieu, D.
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机构:
Ton Duc Thang Univ, Inst Computat Sci, Div Computat Math & Engn, Ho Chi Minh City, Vietnam
Ton Duc Thang Univ, Fac Math & Stat, Ho Chi Minh City, VietnamCan Tho Univ, Nat Sci Coll, Can Tho, Vietnam
机构:
Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Peoples R ChinaHohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Peoples R China
Luo, Yulong
Zhang, Xingjie
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机构:
Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Peoples R ChinaHohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Peoples R China
Zhang, Xingjie
Xiao, Ming
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机构:
Penn State Univ, Dept Civil & Environm Engn, University Pk, PA 16802 USAHohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Peoples R China