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dc.contributor.authorOdundo, N Stephen
dc.date.accessioned2013-09-26T09:14:39Z
dc.date.available2013-09-26T09:14:39Z
dc.date.issued1991
dc.identifier.citationMaster of Science in Mathematicsen
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/56826
dc.description.abstractThis dissertation 1S an attempt capture-recapture models estimation of to study the closed population size. Where possible, the assumptions underlying various models have been discussed in some detail. Departures from various assumptions have also been discussed. Chapter one, outlines the basic principles underlying the capture-recapture method of estimating population size. Some statistical methods used capture-recapture studies are also presented. In Chapter Two, a very extensive literature review of the most work done on both open and closed populations is presented. A statement of the problem is also outlined in this Chapter. In Chapter Three, we discuss various models based on Single-Mark release experimental set-up. The various assumptions underlying these models have also been discussed in some detail. The properties of the Petersen estimate have also been discussed. Inverse sapling scheme and the models based on it are also discussed. In Chapter four, we discu~ss-- the models based on the Schnabel sapling scheme. ~roperties of the estimates derived from these models have ~lso been discussed. Some Regression models have been presented. The testing of the underlying assumptions have been presented. We also discuss the models based on constant probability of capture. Inverse Multiple sampling census together the models based on it have also been discussed. with The models based on the Multi-Single recapture census have also been presented. Conclusions are 1n section 4.4 Lastly we give an appendix and referencesen
dc.language.isoenen
dc.publisherUniversity of Nairobien
dc.titleOn The Capture-Recapture Methods Of Estimating Population Sizeen
dc.typeThesisen
local.publisherSchool of mathematics,en


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