An adaptive feedback methodology for determining information content in stable population studies
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Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695-8212
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2.
Undergraduate Research Opportunities Center (UROC), California State University, Monterey Bay
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3.
Center for Research in Scientic Computation, North Carolina State University, Raleigh, NC 27695-8212
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4.
Ecotoxicology Program, WSU Puyallup Research, Extension Center, Puyallup, WA 98371-4998
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Received:
01 November 2015
Accepted:
29 June 2018
Published:
01 May 2016
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MSC :
34A55, 65L09, 62G05.
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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[J]. Mathematical Biosciences and Engineering, 2016, 13(4): 653-671. doi: 10.3934/mbe.2016013
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Abstract
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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