Experimental design and estimation of growth rate distributions in size-structured shrimp populations

H. T. Banks, Jimena L. Davis, Stacey L. Ernstberger, Shuhua Hu, Elena Artimovich, Arun K. Dhar

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

We discuss inverse problem results for problems involving the estimation of probability distributions using aggregate data for growth in populations. We begin with a mathematical model describing variability in the early growth process of size-structured shrimp populations and discuss a computational methodology for the design of experiments to validate the model and estimate the growth-rate distributions in shrimp populations. Parameter-estimation findings using experimental data from experiments so designed for shrimp populations cultivated at Advanced BioNutrition Corporation are presented, illustrating the usefulness of mathematical and statistical modeling in understanding the uncertainty in the growth dynamics of such populations.

Original languageEnglish (US)
Article number095003
JournalInverse Problems
Volume25
Issue number9
DOIs
StatePublished - 2009
Externally publishedYes

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Signal Processing
  • Mathematical Physics
  • Computer Science Applications
  • Applied Mathematics

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