Scan Statistics (eBook, PDF)

Methods and Applications
Redaktion: Glaz, Joseph; Wallenstein, Sylvan; Pozdnyakov, Vladimir

• Format: PDF

Produktbeschreibung

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.

Key features:

* Chapters are written by leading experts in the field.

* Features many current results and highlights new directions for future research.

* Includes challenging theoretical methodological research problems.

* Presentation is accessible to statisticians as well as to scientists from other disciplines where scan statistics are employed.

* Real-world applications to areas such as bioinformatics and biosurveillance are emphasized.

* Contains extensive references to research articles, books, and relevant computer software.

Scan Statistics is an excellent reference for graduate students and researchers in applied probability and statistics, as well as for scientists in biology, computer science, pharmaceutical science, medicine, geography, quality control, communications, and epidemiology. The work may also be used as a textbook for a graduate-level seminar on scan statistics.

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Produktdetails

• Verlag: Birkhäuser Boston
• Seitenzahl: 394
• Erscheinungstermin: 24. Dezember 2009
• Englisch
• ISBN-13: 9780817647490
• Artikelnr.: 37347698

Autorenporträt

Joseph Glaz has been appointed (effective July 1, 2011) as head of the Department of Statistics, University of Connecticut. He has co-authored several books. Glaz is the current editor-in-chief of the following Springer journal: Methodology and Computing in Applied Probability.
Honors and Awards include : election to the Connecticut Academy of Arts and Sciences (2011), elected fellow of the Institute of Mathematical Sciences (2009), AAUP Excellence in Research Award (2006), Abraham Wald Prize in Sequential Analysis (2006), elected fellow of the American Statistical Assoc. (2000), elected member of the International Statistical Institute (1999).
Most importantly, Joe Glaz has worked closely with Joseph Naus, the father of scan statistics, since this area of statistics was conceived around 1999.

Inhaltsangabe

I Methods and Applications.- 1 Introduction.- 2 Retrospective Scanning of Events Over Time.- 3 Prospective Scanning of Events Over Time.- 4 Success Scans in a Sequence of Trials.- 5 Higher-Dimensional Scans.- 6 Scan Statistics in DNA and Protein Sequence Analysis.- II Scan Distribution Theory and its Developments.- 7 Approaches Used for Derivations and Approximations.- 8 Scanning N Uniform Distributed Points: Exact Results.- 9 Scanning N Uniform Distributed Points: Bounds.- 10 Approximations for the Conditional Case.- 11 Scanning Points in a Poisson Process.- 12 The Generalized Birthday Problem.- 13 Scan Statistics for a Sequence of Discrete I.I.D. Variates.- 14 Power.- 15 Testing for Clustering.- 16 Two-Dimensional Scan Statistics.- 17 Number of Clusters: Ordered Spacings.- 18 Extensions of the Scan Statistic.- References.

Rezensionen

From the reviews: SHORT BOOK REVIEWS "This is an excellent book for a graduate class or self study. The writing is extremely clear, the development is sound, and the production is of the highest quality. Of the roughly 600 references given, the authors have contributed about seven per cent, a good sign!" "The book titled 'Scan Statistics' written by Glaz et al. has several statistical methodologies that are useful in bioinformatics data analysis ... . is suitable for Ph.D. level course in mathematical statistics. ... The bibliography ... includes more than 600 references, both current and past. ... I enjoyed reading ... learned a lot during the process, and in fact have raised several interesting research questions in my own mind. I strongly recommend ... to statisticians, computing scientists, and genetic engineers." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 74 (9), September, 2004) "The book by Glaz et al. covers scan statistics and related topics. ... This book provides broad and up-to-date coverage on both approximate and exact results of scan statistics. ... I enjoyed reading and learning ... . I recommend ... highly for statisticians and computer scientists who are interested in mastering bioinformatics and related concepts." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 75 (1), January, 2005) "Scan statistics have been introduced in order to identify clusters of events in time or space. ... the present book is a valuable introduction to scan statistics. It is well written ... . Readers interested in the applications of scan statistics will eminently benefit ... recommended to those interested in the mathematical background and the derivation of the formulas. Additionally, more than thirty pages of reference provide an excellent source for further reading and research." (Erhard Cramer, Metrika, July, 2003) "This book gives broad and up-to-date coverage of recent developments of scan statistics, especially emphasizing exact results, approximations and bounds with a view towards applications. ... Each chapter discusses in great detail the methods related to a particular scan statistic ... . since the book has a lot of interesting real examples and detailed processes of derivations depending on the problems, I think it is ... suitable for a graduate-level course in applied probability and statistics." (Toshiro Tango, Statistics in Medicine, Vol. 23, 2004) "This book considers distributions of clusters of events and methods to determine if an observed cluster may be exceptional or not. ... The bibliography includes over 600 references drawn from literature in diverse areas. The authors have worked in the field for decades, the second author for forty years. ... Simple formulae to evaluate approximations and bounds are given for each case. ... Several generalizations and extensions of scan statistics are also discussed." (Jon Stene, Mathematical Reviews, Issue 2002 m) "The meaning of a scan statistic is clarified ... . The individual chapters are devoted to exact results, approximations, and bounds for scan statistics. ... The book contains a valuable bibliography that includes over 600 references. It can be recommended to researchers working in applications, as well as to specialists developing methods for the scanning of events. The material is also suitable for graduate-level courses." (EMS Newsletter, June, 2002) "This book ... does a great job of helping the novice practitioner understand the value of scan statistics. ... All of the material ... is surrounded by a plethora of applications. ... The authors continue to illustrate the material effectively. The material is obviously much more cohesive ... . This book would be a good library addition for any statistician." (Technometrics, Vol. 44 (2), 2002) "Scan statistics are used to analyze the occurrence of observed clusters of events in time and space. ... This book gives a broad and up-to-date coverage or exact results, approximations, and bounds for scan statistics with a view towards applications. ... Both one and two-dimensional discrete and continuous scan statistics are discussed in great detail. Separate chapters are devoted to exact results, approximations, and bounds for scan statistics." (L'Enseignement Mathematique, Vol. 48 (3-4), 2002) "This book summarizes research on scan statistics that arise naturally when analyzing the occurrence of observed clusters of events in time and space. ... This book is intended for researchers in applied probability and statistics as well as for scientists who use probability models and statistical inference in their research. It is also suitable for a graduate-level course in applied probability and statistics." (Ivan Krivý, Zentralblatt MATH, Vol. 983, 2002)