Comparison of Probabilistic and Stochastic Formulations in Modeling Growth Uncertainty and Variability

Abstract

We compare two approaches for inclusion of uncertainty/ variability in modeling growth in size-structured population models. One entails imposing a probabilistic structure on growth rates in the population while the other involves formulating growth as a stochastic Markov diffusion process. We present a theoretical analysis that allows one to include comparable levels of uncertainty in the two distinct formulations in making comparisons of the two approaches.

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Document Details

Document Type
Technical Report
Publication Date
Feb 20, 2008
Accession Number
ADA477339

Entities

People

  • A. K. Dhar
  • C. L. Browdy
  • E. Artimovich
  • H. Thomas Banks
  • J. L. Davis
  • S. L. Ernstberger
  • Shuhua Hu

Organizations

  • North Carolina State University

Tags

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Differential Equations
  • Diffusion
  • Dynamics
  • Equations
  • Exponential Functions
  • Inclusions
  • Normal Distribution
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Research Facilities
  • Stochastic Processes
  • Uncertainty

Fields of Study

  • Biology
  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.