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Estimating absence

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dc.contributor.advisor Overton, W. Scott
dc.creator Kincaid, Thomas M.
dc.date.accessioned 2012-10-02T19:47:40Z
dc.date.available 2012-10-02T19:47:40Z
dc.date.copyright 1997-11-25
dc.date.issued 1997-11-25
dc.identifier.uri http://hdl.handle.net/1957/34074
dc.description Graduation date: 1998 en_US
dc.description.abstract The problem addressed is absence of a class of objects in a finite set of objects, which is investigated by considering absence of a species and absence in relation to a threshold. Regarding absence of a species, we demonstrate that the assessed probability of absence of the class of objects in the finite set of objects given absence of the class in the sample is either exactly or approximately equal to the probability of observing a specific single object from the class of objects given the protocol for observation, where probability is interpreted as a degree of belief. Regarding absence in relation to a threshold, we develop a new estimator of the upper confidence bound for the finite population distribution function evaluated at the threshold and investigate its properties for a set of finite populations. In addition we show that estimation regarding the initial ordered value in the finite population has limited usefulness. en_US
dc.language.iso en_US en_US
dc.subject.lcsh Data reduction en_US
dc.subject.lcsh Sampling (Statistics) en_US
dc.title Estimating absence en_US
dc.type Thesis/Dissertation en_US
dc.degree.name Doctor of Philosophy (Ph. D.) in Statistics en_US
dc.degree.level Doctoral en_US
dc.degree.discipline Science en_US
dc.degree.grantor Oregon State University en_US
dc.contributor.committeemember Peters, Dawn
dc.contributor.committeemember Levine, Murray
dc.description.digitization File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6670 in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR. en_US
dc.description.peerreview no en_us

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