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This theory leads to a class of sequential detection rules which are not too demanding in computational and memory requirements for on-line implementation and yet are nearly optimal under several performance criteria.<\/jats:p>","DOI":"10.1111\/j.2517-6161.1995.tb02052.x","type":"journal-article","created":{"date-parts":[[2018,12,7]],"date-time":"2018-12-07T01:16:45Z","timestamp":1544145405000},"page":"613-644","source":"Crossref","is-referenced-by-count":427,"title":["Sequential Changepoint Detection in Quality Control and Dynamical Systems"],"prefix":"10.1093","volume":"57","author":[{"given":"Tze Leung","family":"Lai","sequence":"first","affiliation":[{"name":"Stanford University \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2018,12,5]]},"reference":[{"key":"2024090921165723400_rssb02052-cit-0001","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/29.1486","article-title":"A new statistical approach for the automatic segmentation of continuous speech signals","volume":"36","author":"Andr\u00e9-Orbrecht","year":"1988","journal-title":"IEEE Trans. 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