Show simple item record

Numerical parameter identifiability and estimability: Integrating identifiability, estimability, and optimal sampling design

dc.contributor.authorJacquez, John A.en_US
dc.contributor.authorGreif, Peteren_US
dc.date.accessioned2006-04-07T18:53:18Z
dc.date.available2006-04-07T18:53:18Z
dc.date.issued1985-12en_US
dc.identifier.citationJacquez, John A., Greif, Peter (1985/12)."Numerical parameter identifiability and estimability: Integrating identifiability, estimability, and optimal sampling design." Mathematical Biosciences 77(1-2): 201-227. <http://hdl.handle.net/2027.42/25472>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VHX-45GWN5G-2W/2/788827937eae3cff3c8b347043fa216aen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/25472
dc.description.abstractWe define two levels of parameters. The basic parameters are associated with the model and experiment(s). However, the observations define a set of identifiable observational parameters that are functions of the basic parameters. Starting with this formulation, we show that an implicit function approach provides a common basis for examining local identifiability and estimability and gives a lead-in to the problem of optimal sampling design. A least squares approach based on a large but finite set of observations generated at initial parameter estimates then gives a uniform approach to local identifiability, estimability, and the generation of an optimal sampling schedule.en_US
dc.format.extent1413070 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleNumerical parameter identifiability and estimability: Integrating identifiability, estimability, and optimal sampling designen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Physiology, The University of Michigan, Ann Arbor, Michigan 48109-0010 USAen_US
dc.contributor.affiliationotherLaboratory of Mathematical Biology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20205, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/25472/1/0000012.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0025-5564(85)90098-7en_US
dc.identifier.sourceMathematical Biosciencesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.