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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorNIKULIN, Mikhail
hal.structure.identifierDepartement of Statistics, Vilnius University
hal.structure.identifierDepartement of Statistics, Vilnius University
dc.contributor.authorBAGDONAVIÇIUS, Vilijandas
hal.structure.identifierDepartement of Statistics, Vilnius University
dc.contributor.authorJULIUS, Kruopis
dc.date.created2011
dc.date.issued2011
dc.identifier.isbn9 781 848 212 893
dc.description.abstractEnThis book addresses the testing of hypothses in non-parametric models in the specific case of censored or truncated data samples. In particular, the applicability of standard tests to incomplete data sets is considered - for examples the use of the chi-squared tests for parametric accelerated failure time regression models, which are widely used in reliability, accelerated life testing, and survival analysis, is detailed;
dc.language.isoen
dc.publisherISTE-WILEY
dc.subject.enchi-squared tests
dc.subject.encensored data
dc.subject.entruncated data
dc.subject.enhomogeneity tests
dc.subject.engoodness-of-fit tests for regression models
dc.subject.enmaximum likelihood methods
dc.title.enNon-parametric Tests for Censored Daata
dc.typeOuvrage
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
dc.subject.halStatistiques [stat]/Applications [stat.AP]
bordeaux.page233 pages
hal.identifierhal-00782508
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00782508v1
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