An adaptive feedback methodology for determining information content in stable population studies

H T Banks; John E Banks; R A Everett; John D Stark

doi:10.3934/mbe.2016013

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An adaptive feedback methodology for determining information content in stable population studies

H T Banks, John E Banks, R A Everett and John D Stark

Mathematical biosciences and engineering : MBE, Vol.13(4), pp.653-671

08/01/2016

DOI: https://doi.org/10.3934/mbe.2016013

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https://hdl.handle.net/2376/116108

PMID: 27775380

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Abstract

Animals

Daphnia - physiology

Life Tables

Models, Biological

Ecosystem

Population Dynamics

We develop statistical and mathematical based methodologies for determining (as the experiment progresses) the amount of information required to complete the estimation of stable population parameters with pre-specified levels of confidence. We do this in the context of life table models and data for growth/death for three species of Daphniids as investigated by J. Stark and J. Banks [17]. The ideas developed here also have wide application in the health and social sciences where experimental data are often expensive as well as difficult to obtain.

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Title: An adaptive feedback methodology for determining information content in stable population studies
Creators: H T Banks - Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695-8212, United States. email: htbanks@eos.ncsu.edu
John E Banks
R A Everett
John D Stark
Publication Details: Mathematical biosciences and engineering : MBE, Vol.13(4), pp.653-671
Academic Unit: Entomology, Department of
Publisher: United States
Identifiers: 99900547507901842
Language: English
Resource Type: Journal article