نمایش مختصر رکورد

dc.contributor.authorRajabi, M.en_US
dc.contributor.authorFaridrohani, MR.en_US
dc.date.accessioned1399-07-09T07:47:13Zfa_IR
dc.date.accessioned2020-09-30T07:47:13Z
dc.date.available1399-07-09T07:47:13Zfa_IR
dc.date.available2020-09-30T07:47:13Z
dc.date.issued2019-08-01en_US
dc.date.issued1398-05-10fa_IR
dc.date.submitted2018-03-12en_US
dc.date.submitted1396-12-21fa_IR
dc.identifier.citationRajabi, M., Faridrohani, MR.. (2019). The Comparison of Two Multiple Testing Methods for Outliers Detection in Nonparametric Profile Monitoring. International Journal of Industrial Mathematics, 11(3), 213-221.en_US
dc.identifier.issn2008-5621
dc.identifier.issn2008-563X
dc.identifier.urihttp://ijim.srbiau.ac.ir/article_14669.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/328837
dc.description.abstractMultiple testing is one of the methods to analyze such data. We apply multiple testing methods in profile monitoring. Profile monitoring is a relatively new method of quality control, which is best used when data processing is performed using curves or profiles within a given period. In this research, we introduce two multiple testing methods for outlier profile detection. We compare the performance of these two methods by simulations.en_US
dc.format.extent299
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.publisherScience and Research Branch, Islamic Azad University, Tehran, Iran Website: ijim.srbiau.ac.ir Address: Science and Research Branch, Shohada Hesarak Blvd, Daneshgah Square, Sattari Highway, Tehran, Iran. Email: ijim@srbiau.ac.ir Tel:+98(44)32352053, +98(914)3897371. Fax:+98(44)32722660en_US
dc.publisherدانشگاه آزاد اسلامی واحد علوم و تحقیقات تهرانfa_IR
dc.relation.ispartofInternational Journal of Industrial Mathematicsen_US
dc.relation.ispartofمجله بین المللی ریاضیات صنعتیfa_IR
dc.subjectLocal linear Kernel Smoothingen_US
dc.subjectMultiple testingen_US
dc.subjectNonparametric Mixed-effects modelsen_US
dc.subjectParametric Bootstrapen_US
dc.subjectProfile monitoringen_US
dc.titleThe Comparison of Two Multiple Testing Methods for Outliers Detection in Nonparametric Profile Monitoringen_US
dc.typeTexten_US
dc.typeResearch Paperen_US
dc.contributor.departmentDepartment of Statistics, Science and Research Branch, Islamic Azad University, Tehran, Iran.en_US
dc.contributor.departmentDepartment of Statistics, Shahid Beheshti University, Tehran, ‎Iran‎.en_US
dc.citation.volume11
dc.citation.issue3
dc.citation.spage213
dc.citation.epage221


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