@inproceedings{59d46d707ad747f5a1ecc9f809d8d1c5,
title = "A comparison of the modified likelihood-ratio-test-based shewhart and EWMA control charts for monitoring binary profiles",
abstract = "Profile monitoring is used to check and evaluate the stability of the functional relationship between a response variable and one or more explanatory variables known as profile over time. Many studies assume that the response variable follows a continuous and normal distribution, while in fact it could be discrete, for example binary profiles. However, at present, there are few researches in this field. Based on an in-control binary dataset, this paper uses the logistic regression model to estimate the parameters in Phase I. And in Phase II, we apply bi-sectional search method to modifying the UCL's calculation of the likelihood-ratio-test-based Shewhart and EWMA control charts. Moreover, according to the estimated parameters, ARL's performances of the two modified control charts under different parameters' deviation are compared.",
keywords = "ARL, Bi-sectional search, Binary profile, Logistic regression model",
author = "Chao Yin and Yihai He and Zhen Shen and Wu, \{Chun Hui\}",
year = "2013",
doi = "10.1007/978-3-642-38391-5\_3",
language = "英语",
isbn = "9783642383908",
series = "19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "23--29",
booktitle = "19th International Conference on Industrial Engineering and Engineering Management",
address = "德国",
note = "19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering ; Conference date: 27-10-2012 Through 29-10-2012",
}