Optimum bandwidth selection of smoothed quantile processes for right censored data

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dc.creatorWilton, Andrew S.
dc.date.accessioned2016-11-14T23:20:51Z
dc.date.available2011-02-18T21:19:00Z
dc.date.available2016-11-14T23:20:51Z
dc.date.issued2000-12
dc.degree.departmentStatisticsen_US
dc.description.abstractIt is common in many areas of statistical analysis to encounter right-censored data. Right-censored data occurs when the actual data value is greater than the censored data value. This occurs in survival analysis, where the true survival time is not recorded due to the loss of the sampling unit: for example, a subject moves and is lost to the study, or dies from factors unrelated to the study. Research is now examining nonparametric results including the resulting quantile functions of right-censored data.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/15926en_US
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.rights.availabilityUnrestricted.
dc.subjectJackknife methoden_US
dc.subjectEstimation theoryen_US
dc.subjectBootstrap methoden_US
dc.subjectResamplingen_US
dc.titleOptimum bandwidth selection of smoothed quantile processes for right censored data
dc.typeThesis

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