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INFLUENCE DIAGNOSTICS FOR THE NORMAL LINEAR MODEL WITH CENSORED DATA

dc.contributor.authorWeissfeld, Lisa A.en_US
dc.contributor.authorSchneider, H.en_US
dc.date.accessioned2010-06-01T21:26:36Z
dc.date.available2010-06-01T21:26:36Z
dc.date.issued1990-03en_US
dc.identifier.citationWeissfeld, L.A.; Schneider, H. (1990). "INFLUENCE DIAGNOSTICS FOR THE NORMAL LINEAR MODEL WITH CENSORED DATA." Australian & New Zealand Journal of Statistics 32(1): 11-20. <http://hdl.handle.net/2027.42/74502>en_US
dc.identifier.issn1369-1473en_US
dc.identifier.issn1467-842Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/74502
dc.description.abstractMethods of detecting influential observations for the normal model for censored data are proposed. These methods include one-step deletion methods, deletion of observations and the empirical influence function. Emphasis is placed on assessing the impact that a single observation has on the estimation of coefficients of the model. Functions of the coefficients such as the median lifetime are also considered. Results are compared when applied to two sets of data.en_US
dc.format.extent463918 bytes
dc.format.extent3109 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Ltden_US
dc.rights1990 Australian Statistical Publishing Association Inc.en_US
dc.subject.otherCensored Dataen_US
dc.subject.otherInfluence Functionen_US
dc.subject.otherLinear Modelen_US
dc.subject.otherOne-step Methodsen_US
dc.titleINFLUENCE DIAGNOSTICS FOR THE NORMAL LINEAR MODEL WITH CENSORED DATAen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.en_US
dc.contributor.affiliationotherDepartment of Quantitative Business Analysis, Louisiana State University, Baton Rouge, Louisiana, USA.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/74502/1/j.1467-842X.1990.tb00995.x.pdf
dc.identifier.doi10.1111/j.1467-842X.1990.tb00995.xen_US
dc.identifier.sourceAustralian & New Zealand Journal of Statisticsen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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