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Goodness-of-fit tests for semiparametric and parametric hypotheses based on the probability weighted empirical characteristic function

dc.contributor.authorMeintanis, Simos G.
dc.contributor.authorAllison, James
dc.contributor.authorSantana, Leonard
dc.contributor.researchID21262977 - Meintanis, Simos George
dc.contributor.researchID11985682 - Allison, James Samuel
dc.contributor.researchID11803371 - Santana, Leonard
dc.date.accessioned2017-03-29T09:13:47Z
dc.date.available2017-03-29T09:13:47Z
dc.date.issued2016
dc.description.abstractWe investigate the finite-sample properties of certain procedures which employ the novel notion of the probability weighted empirical characteristic function. The procedures considered are: (1) Testing for symmetry in regression, (2) Testing for multivariate normality with independent observations, and (3) Testing for multivariate normality of random effects in mixed models. Along with the new tests alternative methods based on the ordinary empirical characteristic function as well as other more well known procedures are implemented for the purpose of comparisonen_US
dc.identifier.citationMeintanis, S.G. et al. 2016. Goodness-of-fit tests for semiparametric and parametric hypotheses based on the probability weighted empirical characteristic function. Statistical papers, 57(4):957-976. [https://doi.org/10.1007/s00362-016-0760-0]en_US
dc.identifier.issn0932-5026
dc.identifier.issn1613-9798 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/20978
dc.identifier.urihttps://link.springer.com/article/10.1007%2Fs00362-016-0760-0
dc.identifier.urihttps://doi.org/10.1007/s00362-016-0760-0
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectCharacteristic functionen_US
dc.subjectEmpirical characteristic functionen_US
dc.subjectGoodness-of-fit testen_US
dc.subjectMixed modelen_US
dc.subjectMultivariate normal distributionen_US
dc.subjectTest for symmetryen_US
dc.titleGoodness-of-fit tests for semiparametric and parametric hypotheses based on the probability weighted empirical characteristic functionen_US
dc.typeArticleen_US

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