Scan Statistics Methods and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Glaz, Joseph (Επιμελητής έκδοσης), Pozdnyakov, Vladimir (Επιμελητής έκδοσης), Wallenstein, Sylvan (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Birkhäuser Boston, 2009.
• Σειρά: Statistics for Industry and Technology
• Θέματα: Statistics.; Mathematical statistics.; Applied mathematics.; Engineering mathematics.; Probabilities.; Biomathematics.; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.; Probability Theory and Stochastic Processes.; Physiological, Cellular and Medical Topics.; Probability and Statistics in Computer Science.; Applications of Mathematics.

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,...

Πίνακας περιεχομένων:

• 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.