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dc.contributor.authorWillgohs, Niejingeng
dc.date.accessioned2011-05-02T11:34:25Z
dc.date.available2011-05-02T11:34:25Z
dc.date.issued2010-11-19eng
dc.date.submitted2010-11-19eng
dc.identifier.urihttps://hdl.handle.net/1956/4724
dc.description.abstractIn this thesis, I first present the grassland birds data from Wells(2007) which is used by several different methods of estimating the nest survival rates. The hierarchical Bayesian method from Cao(2009) then is introduced as a new model to estimate nest-specific survival rates with double censored, left-truncated data. I compare two methods and during the comparison, cox-proportional model and intrinsic autoregressive prior are studied In the second half of this thesis, different data analysis methods are introduced, the deviance information criterion is presented and the Bayesian method is compared with the Mayfield method. The hierarchical Bayesian method is relatively new and is a complicated model indeed for those people who are not familiar with the Bayesian and higher dimension of integration. Nevertheless, it is still a valuable statistical tool. The deviance information criterion is a new method of analyses data; users could choose the different priors in order to get different estimating results, therefore it is very applicable in the statistical world.en_US
dc.format.extent1961077 byteseng
dc.format.mimetypeapplication/pdfeng
dc.language.isoengeng
dc.publisherThe University of Bergenen_US
dc.subjectBayesianeng
dc.titleHierarchical Bayesian Survival Analysis of Age-Specific Data From Birds' Nestsen_US
dc.typeMaster thesis
dc.rights.holderThe authoren_US
dc.rights.holderCopyright the author. All rights reserveden_US
dc.description.degreeMaster i Statistikken_US
dc.description.localcodeMAMN-STAT
dc.description.localcodeSTAT399
dc.subject.nus753299eng
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412en_US
dc.subject.nsiVDP::Mathematics and natural science: 400en_US
fs.subjectcodeSTAT399


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