Scan Statistics and Applications
Birkhäuser Verlag GmbH
Published in July 1999
Book
Hardback
346 pages
978-3-7643-4041-4 (ISBN)
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Description
This text presents advances in theory and methodology for this area of statistical research and application. The chapters contain broad coverage of theory and analytical and computational methods and techniques in four categories: introductory survey; discrete scan statistics; continuous scan statistics; and applications
More details
Language
English
Place of publication
Basel
Switzerland
Target group
College/higher education
Professional and scholarly
Illustrations
9 schw.-w. Abb.
Dimensions
Height: 26 cm
Width: 18.3 cm
Weight
854 gr
ISBN-13
978-3-7643-4041-4 (9783764340414)
Schweitzer Classification
Other editions
New editions

Joseph Glaz | N. Balakrishnan
Scan Statistics and Applications
Book
09/1999
1st Edition
Birkhauser Boston Inc
€160.49
Shipment within 15-20 days
Content
Part 1 Introduction and preliminaries: introduction to scan statistics, J. Glaz, N. Balakrishnan. Part 2 Discrete scan statistics: approximation for the distribution and the moments of discrete scan statistics, Jie Chen, Joseph Glaz; Rachet scan and disjoint statistics, J. Krauth; scanning multiple sequences, Joseph I. Naus. Part 3 Continuous scan statistics: approximations of the distributions of scan statistics of Poisson processes, Sven Erick Alm; an approach to computations involving spacings with applications to the scan statistic, Fred W. Huffer, Chien-Tai Lin; using moments to approximate the distribution of the scan statistic, Fred W. Huffer, Chien-Tai Lin; applying ballot problem results to compute probabilities required for a generalization of the scan statistic, Sylvan Wallenstein; scan statistic and multiple scan statistic, Chien-Tai Lin; on Poisson approximation for continuous multiple scan statistics in two dimensions, Marianne Mansson. Part 4 Applications: a start-up demonstration test using a simple scan-based statistic, Markos V. Koutras, N. Balakrishnan; applications of the scan statistic in DNA sequence analysis, Ming-Ying Leung, Traci E. Yamashita; on the probability of pattern matching in non-alighted DNA sequences - a finite Markov chain imbedding approach, James C. Fu et al; spatial scan statistics - model., calculations and applications, Martin Kulldorff.