An adaptive feedback methodology for determining information content in stable population studies
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 f...
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| Format: | Article |
| Language: | English |
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AIMS Press
2016-04-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2016013 |
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| _version_ | 1832590044149317632 |
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| author | H. T. Banks John E. Banks R. A. Everett John D. Stark |
| author_facet | H. T. Banks John E. Banks R. A. Everett John D. Stark |
| author_sort | H. T. Banks |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5073f6f9d7854450800c246f524202b1 |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2016-04-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-5073f6f9d7854450800c246f524202b12025-01-24T02:36:34ZengAIMS PressMathematical Biosciences and Engineering1551-00182016-04-0113465367110.3934/mbe.2016013An adaptive feedback methodology for determining information content in stable population studiesH. T. Banks0John E. Banks1R. A. Everett2John D. Stark3Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695-8212Undergraduate Research Opportunities Center (UROC), California State University, Monterey BayCenter for Research in Scientic Computation, North Carolina State University, Raleigh, NC 27695-8212Ecotoxicology Program, WSU Puyallup Research, Extension Center, Puyallup, WA 98371-4998We 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.https://www.aimspress.com/article/doi/10.3934/mbe.2016013information contentdemographic dataadaptive feedback.inverse problemordinary least squares |
| spellingShingle | 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 and Engineering information content demographic data adaptive feedback. inverse problem ordinary least squares |
| title | An adaptive feedback methodology for determining information content in stable population studies |
| title_full | An adaptive feedback methodology for determining information content in stable population studies |
| title_fullStr | An adaptive feedback methodology for determining information content in stable population studies |
| title_full_unstemmed | An adaptive feedback methodology for determining information content in stable population studies |
| title_short | An adaptive feedback methodology for determining information content in stable population studies |
| title_sort | adaptive feedback methodology for determining information content in stable population studies |
| topic | information content demographic data adaptive feedback. inverse problem ordinary least squares |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2016013 |
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