American Institute of Mathematical Sciences

2016, 13(4): 653-671. doi: 10.3934/mbe.2016013

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

 1 Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695-8212 2 Undergraduate Research Opportunities Center (UROC), California State University, Monterey Bay, United States 3 Center for Research in Scienti c Computation, North Carolina State University, Raleigh, NC 27695-8212, United States 4 Ecotoxicology Program, WSU Puyallup Research, Extension Center, Puyallup, WA 98371-4998, United States

Received  November 2015 Revised  February 2016 Published  May 2016

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.
Citation: H. T. Banks, John E. Banks, R. A. Everett, John D. Stark. An adaptive feedback methodology for determining information content in stable population studies. Mathematical Biosciences & Engineering, 2016, 13 (4) : 653-671. doi: 10.3934/mbe.2016013
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