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  • © 2009

Scan Statistics

Methods and Applications

Birkhäuser
  • 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
  • Contains extensive references to research articles, books, and relevant computer software
  • May be used as a textbook for a graduate-level seminar on scan statistics

Part of the book series: Statistics for Industry and Technology (SIT)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xxviii
  2. Joseph Naus: Father of the Scan Statistic

    • Sylvan Wallenstein
    Pages 1-25
  3. Precedence-Type Tests for the Comparison of Treatments with a Control

    • Narayanaswamy Balakrishnan, Hon Keung Tony Ng
    Pages 27-54
  4. Extreme Value Results for Scan Statistics

    • Michael V. Boutsikas, Markos V. Koutras, Fotios S. Milienos
    Pages 55-85
  5. Boundary Crossing Probability Computationsin the Analysis of Scan Statistics

    • Hock Peng Chan, I-Ping Tu, NancyRuonan Zhang
    Pages 87-108
  6. Applications of Spatial Scan Statistics: A Review

    • Marcelo Azevedo Costa, Martin Kulldorff
    Pages 129-152
  7. Extensions of the Scan Statistic for the Detection and Inference of SpatialClusters

    • Luiz Duczmal, Anderson Ribeiro Duarte, Ricardo Tavares
    Pages 153-177
  8. 1-Dependent Stationary Sequences and Applications to Scan Statistics

    • George Haiman, Cristian Preda
    Pages 179-193
  9. Scan Statistics in Genome-Wide Scan for Complex Trait Loci

    • Josephine Hoh, Jurg Ott
    Pages 195-202
  10. Bayesian Network Scan Statistics for Multivariate Pattern Detection

    • Daniel B. Neill, Gregory F. Cooper, Kaustav Das, Xia Jiang, Jeff Schneider
    Pages 221-249
  11. ULS Scan Statistic for Hotspot Detection with Continuous Gamma Response

    • Ganapati P. Patil, Sharadchandra W. Joshi, Wayne L. Myers, Rajesh E. Koli
    Pages 251-270
  12. False Discovery Control for Scan Clustering

    • Marco Perone-Pacifico, Isabella Verdinelli
    Pages 271-287
  13. Martingale Methods for Patterns and Scan Statistics

    • Vladimir Pozdnyakov, J. Michael Steele
    Pages 289-317
  14. How Can Pattern Statistics Be Useful for DNA Motif Discovery?

    • Sophie Schbath, Stéphane Robin
    Pages 319-350
  15. Occurrence of Patterns and Motifs in Random Strings

    • Valeri T. Stefanov
    Pages 351-367
  16. Detection of Disease Clustering

    • Toshiro Tango
    Pages 369-391
  17. Back Matter

    Pages 393-394

About this book

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 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.

Reviews

From the reviews:

“The area of scan statistics has developed rapidly in recent years. … provided excellent overviews of the area. … There are many papers of interest here for the readers of Technometrics. … This reviewer enjoyed thumbing through the pages of this volume and feels that the editors hope that it will serve as a valuable reference and source for researchers in applied probability and statistics and in many other areas of science and technology is well justified.” (H. N. Nagaraja, Technometrics, Vol. 53 (1), February, 2011)

Editors and Affiliations

  • Dept. Statistics, University of Connecticut, Storrs, U.S.A.

    Joseph Glaz, Vladimir Pozdnyakov

  • Center for Biomathematical Sciences, Mount Sinai School of Medicine, New York, U.S.A.

    Sylvan Wallenstein

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access