Phase I monitoring with nonparametric mixed‐effect models

التفاصيل البيبلوغرافية
العنوان:	Phase I monitoring with nonparametric mixed‐effect models
المؤلفون:	Rajabi, Marjan, Faridrohani, Mohammad Reza, Chenouri, Shojaeddin
المساهمون:	Natural Sciences and Engineering Research Council of Canada
المصدر:	Quality and Reliability Engineering International ; volume 33, issue 8, page 1929-1941 ; ISSN 0748-8017 1099-1638
بيانات النشر:	Wiley
سنة النشر:	2017
المجموعة:	Wiley Online Library (Open Access Articles via Crossref)
الوصف:	In many real‐life applications, the quality of products from a process is monitored by a functional relationship between a response variable and one or more explanatory variables. In these applications, methodologies of profile monitoring are used to check the stability of this relationship over time. In phase I of profile monitoring, historical data points that can be represented by curves (or profiles) are collected. In this article, 2 procedures are proposed for detecting outlying profiles in phase I data, by incorporating the local linear kernel smoothing within the framework of nonparametric mixed‐effect models. We introduce a stepwise algorithm on the basis of the multiple testing viewpoint. Our simulation results for various linear and nonlinear profiles display the superior efficiency of our proposed monitoring procedures over some existing techniques in the literature. To illustrate the implementation of the proposed methods in phase I profile monitoring, we apply the methods on a vertical density profile dataset.
نوع الوثيقة:	article in journal/newspaper
اللغة:	English
DOI:	10.1002/qre.2157
الاتاحة:	http://dx.doi.org/10.1002/qre.2157 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqre.2157 https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2157
Rights:	http://onlinelibrary.wiley.com/termsAndConditions#vor
رقم الانضمام:	edsbas.1669AB8F
قاعدة البيانات:	BASE

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الوصف
DOI:	10.1002/qre.2157