Non-parametric Tests for Censored Daata
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | NIKULIN, Mikhail | |
hal.structure.identifier | Departement of Statistics, Vilnius University | |
hal.structure.identifier | Departement of Statistics, Vilnius University | |
dc.contributor.author | BAGDONAVIÇIUS, Vilijandas | |
hal.structure.identifier | Departement of Statistics, Vilnius University | |
dc.contributor.author | JULIUS, Kruopis | |
dc.date.created | 2011 | |
dc.date.issued | 2011 | |
dc.identifier.isbn | 9 781 848 212 893 | |
dc.description.abstractEn | This 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.iso | en | |
dc.publisher | ISTE-WILEY | |
dc.subject.en | chi-squared tests | |
dc.subject.en | censored data | |
dc.subject.en | truncated data | |
dc.subject.en | homogeneity tests | |
dc.subject.en | goodness-of-fit tests for regression models | |
dc.subject.en | maximum likelihood methods | |
dc.title.en | Non-parametric Tests for Censored Daata | |
dc.type | Ouvrage | |
dc.subject.hal | Mathématiques [math]/Statistiques [math.ST] | |
dc.subject.hal | Statistiques [stat]/Théorie [stat.TH] | |
dc.subject.hal | Statistiques [stat]/Applications [stat.AP] | |
bordeaux.page | 233 pages | |
hal.identifier | hal-00782508 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Non spécifiée | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-00782508v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2011&rft.spage=233%20pages&rft.epage=233%20pages&rft.au=NIKULIN,%20Mikhail&BAGDONAVI%C3%87IUS,%20Vilijandas&JULIUS,%20Kruopis&rft.isbn=9%20781%20848%20212%20893&rft.genre=unknown |
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