Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793267
Title: Statistical methods for the analysis of ordinal response data
Author: Lorenzo-Arribas, Altea
ISNI:       0000 0004 8502 0624
Awarding Body: University of Southampton
Current Institution: University of Southampton
Date of Award: 2019
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Abstract:
Ordinal response models and in particular cumulative link models are the most prevalent techniques for modelling ordered response data. This thesis examines the advantages of these models versus other approaches in the socio-economic literature and assesses the performance of available residual diagnostics measures by means of simulation studies and four case studies. Furthermore, it proposes solutions to specific issues of flexible versions of cumulative link models.
Supervisor: Overstall, Antony Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.793267  DOI: Not available
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