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Balance studies on compartmental systems with stochastic inputs

dc.contributor.authorJacquez, John A.en_US
dc.contributor.authorMather, Frances J.en_US
dc.date.accessioned2006-04-17T16:15:20Z
dc.date.available2006-04-17T16:15:20Z
dc.date.issued1966-08en_US
dc.identifier.citationJacquez, John A., Mather, Frances J. (1966/08)."Balance studies on compartmental systems with stochastic inputs." Journal of Theoretical Biology 11(3): 446-458. <http://hdl.handle.net/2027.42/33422>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WMD-4F1J831-41/2/2d500779dd12b810175f700f89903a17en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/33422
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=5967443&dopt=citationen_US
dc.description.abstractFor a population of identical one compartment systems with daily inputs which are random samples from a stationary distribution the mean of the daily balance (balance = input minus excretion) taken over the population of compartments or over days for one compartment is linearly dependent on input with a slope which is independent of the distribution of the inputs and an intercept which depends only on the mean of the distribution of intakes. Analytical and simulation studies on a model with three daily inputs gives essentially similar results. Even if the inputs are not from a stationary distribution but the inputs to a population of compartments are all from the same distribution, one still obtains a linear regression of the mean of the daily balance over the population of compartments, on intake for any particular day but this no longer holds from day to day. This provides a theoretical basis for the interpretation of balance studies on populations of individuals when the daily intakes of an element under study cannot be kept constant.en_US
dc.format.extent950214 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleBalance studies on compartmental systems with stochastic inputsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics and Department of Physiology, The University of Michigan, Ann Arbor, Michigan, U.S.A.en_US
dc.contributor.affiliationumDepartment of Biostatistics, The University of Michigan, Ann Arbor, Michigan, U.S.A.en_US
dc.identifier.pmid5967443en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/33422/1/0000824.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0022-5193(66)90104-4en_US
dc.identifier.sourceJournal of Theoretical Biologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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