書目名稱 | Scan Statistics | 副標題 | Methods and Applicat | 編輯 | Joseph Glaz,Vladimir Pozdnyakov,Sylvan Wallenstein | 視頻video | http://file.papertrans.cn/862/861129/861129.mp4 | 概述 | Presentation is accessible to statisticians as well as to scientists from other disciplines where scan statistics are employed.Many current results and new directions for future research are featured. | 叢書名稱 | Statistics for Industry and Technology | 圖書封面 |  | 描述 | .Scan statistics is currently one of the most active and important areas of research in applied probability and statistics, having applications to a wide variety of fields: archaeology, astronomy, bioinformatics, biosurveillance, molecular biology, genetics, computer science, electrical engineering, geography, material sciences, physics, reconnaissance, reliability and quality control, telecommunication, and epidemiology...Filling a gap in the literature, this self-contained volume brings together a collection of selected chapters illustrating the depth and diversity of theory, methods and applications in the area of scan statistics. The chapters are written by leading experts in the field of scan statistics. Key features include?many current results and?new directions for future research;?challenging theoretical methodological research problems; presentation?accessible to both?statisticians and scientists from other disciplines where scan statistics are employed; emphasis on?real-world applications to areas such as bioinformatics and biosurveillance; and?extensive references to research articles, books, and relevant computer software...Scan Statistics. is an excellent reference fo | 出版日期 | Book 2009 | 關鍵詞 | Excel; Martingale; Radiologieinformationssystem; algorithms; bioinformatics; calculus; clustering; martinga | 版次 | 1 | doi | https://doi.org/10.1007/978-0-8176-4749-0 | isbn_ebook | 978-0-8176-4749-0Series ISSN 2364-6241 Series E-ISSN 2364-625X | issn_series | 2364-6241 | copyright | Birkh?user Boston 2009 |
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