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Technometrics Volume 59, 2017 - Issue 4
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Original Articles

Statistical Process Control for Latent Quality Characteristics Using the Up-and-Down Test

Dongdong XiangSchool of Statistics, East China Normal University, Shanghai, China
,
Fugee TsungDepartment of Industrial Engineering and Logistic Management, Hong Kong University of Science and Technology, Hong Kong
&
Xiaolong PuSchool of Statistics, East China Normal University, Shanghai, China
Pages 496-507 | Received 01 Jun 2015, Published online: 25 May 2017

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Read on this site (4)

Edward V. Thomas. (2023) Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage. Journal of Quality Technology 55:4, pages 442-462.
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Dongdong Xiang, Xiaolong Pu, Dong Ding & Wenjuan Liang. (2021) An efficient charting scheme for multivariate categorical process with a sparse contingency table. Journal of Quality Technology 53:1, pages 88-105.
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Young H. Chun. (2019) Generalized run tests for statistical process control. Journal of Applied Statistics 46:12, pages 2164-2179.
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Lu You & Peihua Qiu. (2019) Fast computing for dynamic screening systems when analyzing correlated data. Journal of Statistical Computation and Simulation 89:3, pages 379-394.
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Articles from other publishers (1)

Renan Mitsuo Ueda & Adriano Mendonça Souza. (2022) An effective approach to detect the source(s) of out-of-control signals in productive processes by vector error correction (VEC) residual and Hotelling’s T2 decomposition techniques. Expert Systems with Applications 187, pages 115979.
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