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dc.contributor.authorYang, Guiping
dc.date.accessioned2014-03-03T23:19:45Z
dc.date.available2014-03-03T23:19:45Z
dc.date.issued2005-05
dc.identifier.otheryang_guiping_200505_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/yang_guiping_200505_ms
dc.identifier.urihttp://hdl.handle.net/10724/22556
dc.description.abstractThis thesis examines the efficiency and accuracy of a new nonparametric bivariate survival estimator under right censoring. The estimator and its doubly modified version were simulated in a number of design settings to investigate their finite sample behaviors. Both S-Plus and Fortran 90 codes are employed in the simulation to speed up the running of program. The bias, standard deviation and mean squared error are investigated to study the efficiency and accuracy of estimators with contour and wireframe plots. The results show that, overall, the new bivariate survival estimator and its modified version work fairly well. These new estimators overcome a number of drawbacks in several earlier nonparametric estimators in terms of their finite sample properties, such as monotonicity, simple computation and reduction to the empirical distribution in the uncensored case.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectBivariate survival estimator
dc.subjectNonparametric estimator
dc.subjectRight censoring
dc.subjectSimulation
dc.subjectPaired failure times
dc.titleA new nonparametric bivariate survival function estimator under random right censoring
dc.typeThesis
dc.description.degreeMS
dc.description.departmentStatistics
dc.description.majorStatistics
dc.description.advisorSomnath Datta
dc.description.committeeSomnath Datta
dc.description.committeeJaxk Reeves
dc.description.committeeLynne Seymour


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