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dc.contributor.authorGoldmann, Christian
dc.contributor.authorMeintanis, Simos G.
dc.contributor.authorKlar, Bernhard
dc.date.accessioned2016-09-02T08:31:31Z
dc.date.available2016-09-02T08:31:31Z
dc.date.issued2015
dc.identifier.citationGoldmann, C. et al. 2015. Data transformations and goodness-of-fit tests for type-II right censored samples. Metrika, 78(1):59-83. [https://doi.org/10.1007/s00184-014-0490-z]en_US
dc.identifier.issn0026-1335
dc.identifier.issn1435-926X (Online)
dc.identifier.urihttp://hdl.handle.net/10394/18514
dc.identifier.urihttps://link.springer.com/article/10.1007%2Fs00184-014-0490-z
dc.identifier.urihttps://doi.org/10.1007/s00184-014-0490-z
dc.description.abstractWe suggest several goodness-of-fit (GOF) methods which are appropriate with Type-II right censored data. Our strategy is to transform the original observations from a censored sample into an approximately i.i.d. sample of normal variates and then perform a standard GOF test for normality on the transformed observations. A simulation study with several well known parametric distributions under testing reveals the sampling properties of the methods. We also provide theoretical analysis of the proposed methoden_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectEmpirical characteristic functionen_US
dc.subjectEmpirical distribution functionen_US
dc.subjectGoodness-of-fit testen_US
dc.subjectCensored dataen_US
dc.titleData transformations and goodness-of-fit tests for type-II right censored samplesen_US
dc.typeArticleen_US
dc.contributor.researchID21262977 - Meintanis, Simos George


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