Scan Statistics Methods and Applications /

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,...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Glaz, Joseph. (Editor), Pozdnyakov, Vladimir. (Editor), Wallenstein, Sylvan. (Editor)
Format: Electronic
Language:English
Published: Boston, MA : Birkhũser Boston, 2009.
Series:Statistics for Industry and Technology
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-8176-4749-0
LEADER 04724nam a22005655i 4500
001 4967
003 DE-He213
005 20130725205557.0
007 cr nn 008mamaa
008 110414s2009 xxu| s |||| 0|eng d
020 # # |a 9780817647490  |9 978-0-8176-4749-0 
024 7 # |a 10.1007/978-0-8176-4749-0  |2 doi 
050 # 4 |a QA276-280 
072 # 7 |a PBT  |2 bicssc 
072 # 7 |a MAT029000  |2 bisacsh 
082 0 4 |a 519.5  |2 23 
100 1 # |a Glaz, Joseph.  |e editor. 
245 1 0 |a Scan Statistics  |b Methods and Applications /  |c edited by Joseph Glaz, Vladimir Pozdnyakov, Sylvan Wallenstein.  |h [electronic resource] : 
264 # 1 |a Boston, MA :  |b Birkhũser Boston,  |c 2009. 
300 # # |a XXVIII, 394p. 40 illus.  |b online resource. 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
347 # # |a text file  |b PDF  |2 rda 
490 1 # |a Statistics for Industry and Technology 
505 0 # |a Preface -- List of Contributors -- Joseph I. Naus<U+0014>Lifetime Contributions to the Area of Scan Statistics -- Applications of Scan Statistics to Reliability and Quality Control -- Variable Window Scan Statistics -- Scan Statistics and Applications to Biosurveillance -- Scan Statistics and Applications to Bioinformatics -- Algorithms for Approximating the Distribution of Two-Dimensional Scan Statistics -- Applications of Scan Statistics in Epidemiology -- Spatial Scan Statistics and Applications to Epidemiology and Biosurveillance -- Two-Dimensional Scan Statistics -- Scan-type Statistics and Applications -- Algorithms for Spatial Scan Statistics -- Spatial Scan Statistics and Applications in Ecology -- Martingale Methods for Scan Statistics -- Scan Statistics on Graphs with Applications to Social Networks -- Scan-type Statistics with Applications to Bioinformatics -- Analysis of Protein and DNA Sequences -- Scan Statistics with Applications to the Analysis of DNA Sequences -- One-Dimensional Scan Statistics with Applications in Biosurveillance -- Applications of One-Dimensional Scan Statistics in Epidemiology -- Author Index -- Subject Index. 
520 # # |a 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. 
650 # 0 |a Statistics. 
650 # 0 |a Computer science. 
650 # 0 |a Mathematics. 
650 # 0 |a Physiology  |x Mathematics. 
650 # 0 |a Distribution (Probability theory). 
650 # 0 |a Mathematical statistics. 
650 1 4 |a Statistics. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Physiological, Cellular and Medical Topics. 
650 2 4 |a Probability and Statistics in Computer Science. 
650 2 4 |a Applications of Mathematics. 
700 1 # |a Pozdnyakov, Vladimir.  |e editor. 
700 1 # |a Wallenstein, Sylvan.  |e editor. 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780817647483 
830 # 0 |a Statistics for Industry and Technology 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-8176-4749-0 
912 # # |a ZDB-2-SMA 
950 # # |a Mathematics and Statistics (Springer-11649)