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dc.contributor.authorMyers, Max Henryen
dc.date.accessioned2014-03-14T21:40:25Zen
dc.date.available2014-03-14T21:40:25Zen
dc.date.issued1960en
dc.identifier.otheretd-07152010-020011en
dc.identifier.urihttp://hdl.handle.net/10919/43719en
dc.description.abstractThis paper proposed the idea that the growth of an individual organism follows a mathematical model very closely and that different individuals follow different members of the same parametric family of models. This idea implies that the variation observed between individuals measured at the same time arises not from an additive term as has been previously supposed, but primarily from variation of the parameters of the model. A graph of data from an experiment on chickens is included which points up this individuality and the increased variation resulting from the passage of time. The four models considered were growth curves employing two, three, and four parameters with biological interpretations existing for the parameters. The parameters were allowed to follow independent uniform distributions and independent gamma distributions.en
dc.format.mediumBTDen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1960.M947.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectDistribution (Probability theory)en
dc.subject.lccLD5655.V855 1960.M947en
dc.titleConditional distributions arising from variation of parameters in non-linear response functionsen
dc.typeThesisen
dc.contributor.departmentStatisticsen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Instituteen
thesis.degree.disciplineStatisticsen
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07152010-020011/en
dc.date.sdate2010-07-15en
dc.date.rdate2010-07-15en
dc.date.adate2010-07-15en


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