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Titlebook: Scan Statistics; Methods and Applicat Joseph Glaz,Vladimir Pozdnyakov,Sylvan Wallenstein Book 2009 Birkh?user Boston 2009 Excel.Martingale.

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發(fā)表于 2025-3-21 18:05:01 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Scan Statistics
副標題Methods and Applicat
編輯Joseph Glaz,Vladimir Pozdnyakov,Sylvan Wallenstein
視頻videohttp://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Titlebook: Scan Statistics; Methods and Applicat Joseph Glaz,Vladimir Pozdnyakov,Sylvan Wallenstein Book 2009 Birkh?user Boston 2009 Excel.Martingale.
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
doihttps://doi.org/10.1007/978-0-8176-4749-0
isbn_ebook978-0-8176-4749-0Series ISSN 2364-6241 Series E-ISSN 2364-625X
issn_series 2364-6241
copyrightBirkh?user Boston 2009
The information of publication is updating

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2364-6241 results and new directions for future research are featured..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
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Statistics for Industry and Technologyhttp://image.papertrans.cn/s/image/861129.jpg
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on rank evaluation, is usually corrupted by singularizing features of Poisson unsuitable input signals when the identification algorithm is employed with an arbitrary record of data necessitating determination of unknown initial conditions. However, in our present discussion, this situation is aver
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Sylvan Wallenstein on rank evaluation, is usually corrupted by singularizing features of Poisson unsuitable input signals when the identification algorithm is employed with an arbitrary record of data necessitating determination of unknown initial conditions. However, in our present discussion, this situation is aver
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Narayanaswamy Balakrishnan,Hon Keung Tony Ng on rank evaluation, is usually corrupted by singularizing features of Poisson unsuitable input signals when the identification algorithm is employed with an arbitrary record of data necessitating determination of unknown initial conditions. However, in our present discussion, this situation is aver
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