On the Normal Convergence of a Class of Simple Batch Epidemics.

Abstract

A group of n susceptible individuals exposed to a contagious disease is considered. It is assumed that at each instant in time one or more susceptible individuals can contract the disease. The progress of this epidemic is modeled by a stochastic process X sub n (t), t in (0, infinity) representing the number of infective individuals at time t. It is shown that X sub n (t), with the suitable standardization and under a mild condition, converges in distribution as n approaches infinity to a normal random variable for all t in (0, t sub 0), where t sub 0 is an identifiable number. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1979
Accession Number
ADA080887

Entities

People

  • Naftali A. Langberg

Organizations

  • Florida State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Brownian Motion
  • Contracts
  • Convergence
  • Differential Equations
  • Diseases And Disorders
  • Distribution Functions
  • Epidemics
  • Equations
  • New York
  • Normal Distribution
  • Numbers
  • Probability
  • Random Variables
  • Real Numbers
  • Sequences
  • Stochastic Processes
  • Weak Convergence

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Infectious Disease/Epidemiology