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,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Glaz, Joseph (Editor ), Pozdnyakov, Vladimir (Editor ), Wallenstein, Sylvan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2009.
Edición:1st ed. 2009.
Colección:Statistics for Industry and Technology,
Temas:
Statistics .
Biometry.
Probabilities.
Biomathematics.
Computer science-Mathematics.
Mathematical statistics.
Mathematics.
Statistical Theory and Methods.
Biostatistics.
Probability Theory.
Mathematical and Computational Biology.
Probability and Statistics in Computer Science.
Applications of Mathematics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Joseph Naus: Father of the Scan Statistic
  • Precedence-Type Tests for the Comparison of Treatments with a Control
  • Extreme Value Results for Scan Statistics
  • Boundary Crossing Probability Computationsin the Analysis of Scan Statistics
  • Approximations for Two-Dimensional Variable Window Scan Statistics
  • Applications of Spatial Scan Statistics: A Review
  • Extensions of the Scan Statistic for the Detection and Inference of SpatialClusters
  • 1-Dependent Stationary Sequences and Applications to Scan Statistics
  • Scan Statistics in Genome-Wide Scan for Complex Trait Loci
  • On Probabilities for Complex Switching Rules in Sampling Inspection
  • Bayesian Network Scan Statistics for Multivariate Pattern Detection
  • ULS Scan Statistic for Hotspot Detection with Continuous Gamma Response
  • False Discovery Control for Scan Clustering
  • Martingale Methods for Patterns and Scan Statistics
  • How Can Pattern Statistics Be Useful for DNA Motif Discovery?
  • Occurrence of Patterns and Motifs in Random Strings
  • Detection of Disease Clustering.

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