Información General

• Autores: Joseph Glaz, N. Balakrishnan
• Editores: Boston : Birkhäuser, 1999
• Año de publicación: 1999
• País: Estados Unidos
• Idioma: inglés
• ISBN: 0-8176-4041-X
• Texto completo no disponible (Saber más ...)

Resumen

• Scan statistics are used in many areas of science and technology to analyze the occurence of observed clusters of events in time and space. The goal is to determine whether an observed cluster of events occurred by chance if it is assumed that the observed events follow a specified probability model.

  Scan Statistics and Applications is a comprehensive, edited survey that brings together the work of leading authorities to present the most current advances in theory and methodology for this new area of statistical research and application. The chapters contain broad coverage of theory and new analytical and computational methods and techniques in four categories: introductory survey, discrete scan statistics, continuous scan statistics, and applications.

  Features and Topics:

  * Comprehensive introductory survey chapter * Discrete scan statistics * Finite Markov chain imbedding * Continuous scan statistics * Spatial scan statistics * Applications in DNA sequence analysis * Monte Carlo approaches to testing order statistics and spacing The book is a valuable resource and state-of-the-art reference for all practitioners, researchers, and professionals in applied probability and statistics who use scan statistics in their work.

Otros catálogos

• Red de Bibliotecas Universitarias (REBIUN)

Índice

• Preface
  Contributors
  List of Tables
  List of Figures
  Part I. Introduction and Preliminaries
  Introduction to Scan Statistics \ Joseph Glaz and N. Balakrishnan
  Part II. Discrete Scan Statistics
  Approximations for the Distribution and the Moments of Discrete Scan Statistics \ Jie Chen and Joseph Glaz
  Ratchet Scan adn Disjoint Statistics \ Joachim Krauth
  Scanning Multiple Sequences \ Joseph I. Naus
  Part III. Continuous Scan Statistics
  Approximations of the Distributions of Scan Statistics of Poisson Processes \ Sve Erick Alm
  An Approach to Computations Involving Spacings With Applications to the Scan Statistic \ Fred W. Huffer and Chien-Tai Lin
  Using Moments to Approximate the Distribution of the Scan Statistic \ Fred W. Huffer and 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 Månsson
  Part IV. Applications
  A Start-Up Demonstration Test Using a Simple Scan-Based Statistic \ Markos V. Koutras and N. Balakrishnan
  Applications of the Scan Statistic in DNA Sequence Analysis \ Ming-Ying Leung and Traci E. Yamashita
  On the Probability of Pattern Matching in Nonaligned DNA Sequences: A Finite Markov Chain Imbedding Approach \ James C. Fu, W.Y. Wendy Lou, and S.C. Chen
  Spacial Scan Statistics: Models, Calculations, and Applications \ Martin Kulldorff
  Index