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dc.contributor.authorBouzas, Paula R.
dc.contributor.authorRuiz-Fuentes, Nuria
dc.date.accessioned2011-10-07T10:17:46Z
dc.date.available2011-10-07T10:17:46Z
dc.date.issued2011-10-07
dc.identifier.urihttp://hdl.handle.net/10481/17863
dc.description.abstractThe Cox Process (CP) models many real phenomena dealing with counting data. Having observed sample paths of a counting process in a discrete set of time points and assuming that the phenomenon can be modeled by a Cox process or compound Cox process, an important task is to decide if those paths fit a given model. A goodnes-of-fit test to assess the coherence of the new observed data with the given Cox process has been proposed by the authors, taking into account if the process is parametrically known or it has to be estimated. This paper deals with a computational tool to support the test.en_US
dc.description.sponsorshipFQM-307, FQM-246, MTM2010-20502en_US
dc.language.isoengen_US
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 3.0 License
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/
dc.subjectCox processen_US
dc.subjectCompound Cox processen_US
dc.subjectGoodness-of-fit testen_US
dc.subjectSimultaneous inferenceen_US
dc.subjectMatlaben_US
dc.titleCox process goodness-of-fit test. A Matlab file.en_US
dc.typeinfo:eu-repo/semantics/preprinten_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US


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