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.

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.