Scan Statistics
In many statistical applications the scientists have to analyze the occurrence of observed clusters of events in time or space. The scientists are especially interested to determine whether an observed cluster of events has occurred by chance if it is ass
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Springer Series in Statistics Andersen/Borgan/Gill/Keiding: Statistical Models Based on Counting Processes. Atkinson/Riani: Robust Diagnotstic Regression Analysis. Berger: Statistical Decision Theory and Bayesian Analysis, 2nd edition. BolJarine/Zacks: Prediction Theory for Finite Populations. Borg/Groenen: Modem Multidimensional Scaling: Theory and Applications Brockwell/Davis: Time Series: Theory and Methods, 2nd edition. Chan/Tong: Chaos: A Statistical Perspective. Chen/Shao/Ibrahim: Monte Carlo Methods in Bayesian Computation. David/Edwards: Annotated Readings in the History of Statistics. Devroye/Lugosi: Combinatorial Methods in Density Estimation. Efromovich: Nonparametric Curve Estimation: Methods, Theory, and Applications. Eggermont/LaRiccia: Maximum Penalized Likelihood Estimation, Volume I: Density Estimation. Fahrmeir/Tutz: Multivariate Statistical Modelling Based on Generalized Linear Models, 2nd edition. Farebrother: Fitting Linear Relationships: A History of the Calculus of Observations 1750-1900. Federer: Statistical Design and Analysis for Intercropping Experiments, Volume I: Two Crops. Federer: Statistical Design and Analysis for Intercropping Experiments, Volume II: Three or More Crops. Fienberg/Hoaglin/Kruskal/Tanur (Eds.): A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science and Public Policy. Fisher/Sen: The Collected Works ofWassily Hoeffding. Glaz/Naus/Wallenstein: Scan Statistics. Good: Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses, 2nd edition. Gourieroux: ARCH Models and Financial Applications. Grandell: Aspects of Risk Theory. Haberman: Advanced Statistics, Volume I: Description of Populations. Hall: The Bootstrap and Edgeworth Expansion. Hardie: Smoothing Techniques: With Implementation in S. Harrell: Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis Hart: Nonparametric Smoothing and Lack-of-Fit Tests. Hartigan: Bayes Theory. Hastie/Tibshirani/Friedman: The Elements of Statistical Learning: Data Mining, Inference, and Prediction Hedayat/Sloane/Stujken: Orthogonal Arrays: Theory and Applications. Heyde: Quasi-Likelihood and its Application: A General Approach to Optimal Parameter Estimation. Huet/Bouvier/Gruet/Jolivet: Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS Examples. Ibrahim/Chen/Sinha: Bayesian Survival Analysis. Kolen/Brennan: Test Equating: Methods and Practices. (continued after index)
Joseph Glaz Joseph Naus Sylvan Wallenstein
Scan Statistics
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Springer
Joseph Glaz Department of Statistics The College of Liberal Arts and Sciences University of Connecticut Storrs, CT 06269 USA
Joseph Naus Department of Statistics Rutgers, The State University of New Jersey Piscataway, NJ 08854 USA
Sylvan Wallenstein Department of Biomathematical Sciences Mount Sinai School of Medicine New York, NY 10029 USA
Library of Congress Cataloging-in-Publication Data Glaz, Josesph. Scan statistics / Joseph
