Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.536364 |
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Title: | Bayesian analysis for categorical survey data | ||||||
Author: | Grapsa, Erofili |
ISNI:
0000 0004 2705 4105
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Awarding Body: | University of Southampton | ||||||
Current Institution: | University of Southampton | ||||||
Date of Award: | 2010 | ||||||
Availability of Full Text: |
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Abstract: | |||||||
In this thesis, we develop Bayesian methodology for univariate and multivariate categorical survey data. The Multinomial model is used and the following problems are addressed. Limited information about the design variables leads us to model the unknown design variables taking into account the sampling scheme. Random effects are incorporated in the model to deal with the effect of sampling design, that produces the Multinomial GLMM and issues such as model comparison and model averaging are also discussed. The methodology is applied in a true dataset and estimates for population counts are obtained
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Supervisor: | Forster, Jonathan | Sponsor: | Not available | ||||
Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||||
EThOS ID: | uk.bl.ethos.536364 | DOI: | Not available | ||||
Keywords: | QA Mathematics | ||||||
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