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Stochastic Epidemic Models and Their Statistical Analysis /

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This book describes stochastic epidemic models and methods for statistically analyzing them. It is aimed at statisticians, biostatisticians, and biomathematicians.

Bibliographic Details
Main Author: Andersson, Håkan, 1964-
Corporate Author: SpringerLink (Online service)
Other Authors: Britton, Tom
Format: eBook
Language:English
Published: New York, NY : Springer New York, 2000.
Series:Lecture notes in statistics (Springer-Verlag) ; 151.
Subjects:
Statistics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • The Standard SIR Epidemic Model
  • Coupling Methods
  • The Threshold Limit Theorem
  • Density Dependent Jump Markov Processes
  • Multitype Epidemics
  • Epidemics and Graphs
  • Models for Endemic Diseases
  • Complete Observation of the Epidemic Process
  • Estimation in Partially Observed Epidemics
  • Markov Chain Monte Carlo Methods
  • Vaccination.