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MATLAB code for the paper "Inference on the endpoint of human lifespan and its inherent statistical difficulty"

dc.contributor.authorStoev, Stilian
dc.contributor.authorBhattacharya, Shrijita
dc.date.accessioned2018-04-06T15:19:35Z
dc.date.available2018-04-06T15:19:35Z
dc.date.issued2018-04-06
dc.identifier.urihttps://hdl.handle.net/2027.42/142999
dc.description.abstractWe offer an inference methodology for the upper endpoint of a regularly varying distribution with finite endpoint. We apply it to the IDL and GRG data sets of lifespans of supercentenarians. As in the comprehensive analysis of Rootzen and Zholud, our results underscore the effect of the data sampling scheme and censoring on the conclusions. We also quantify the statistical difficulty of distinguishing between the hypotheses of finite and infinite lifespan by providing estimates of the required sample size.en_US
dc.description.sponsorshipNSFen_US
dc.language.isoen_USen_US
dc.subjectextremes, human lifespan, regular variationen_US
dc.titleMATLAB code for the paper "Inference on the endpoint of human lifespan and its inherent statistical difficulty"en_US
dc.typeSoftwareen_US
dc.subject.hlbsecondlevelMathematics
dc.subject.hlbtoplevelScience
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/142999/1/longevity_matlab_code.zip
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/142999/3/end_of_life-03.pdf
dc.description.filedescriptionDescription of end_of_life-03.pdf : Preprint accompanying the code (submitted to the journal Extremes).
dc.owningcollnameStatistics, Department of


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