artículo de publicación periódica.page.titleprefix
On a goodness-of-fit test for normality with unknown parameters and type-II censored data

dc.contributor.authorCastro-Kuriss, Claudia
dc.contributor.authorKelmansky, Diana M.
dc.contributor.authorLeiva, Víctor
dc.contributor.authorMartínez, Elena J.
dc.date.accessioned2022-05-02T16:01:38Z
dc.date.available2022-05-02T16:01:38Z
dc.date.issued2010-07
dc.description.abstract"We propose a new goodness-of-fit test for normal and lognormal distributions with unknown parameters and type-II censored data. This test is a generalization of Michael's test for censored samples, which is based on the empirical distribution and a variance stabilizing transformation. We estimate the parameters of the model by using maximum likelihood and Gupta's methods. The quantiles of the distribution of the test statistic under the null hypothesis are obtained through Monte Carlo simulations. The power of the proposed test is estimated and compared to that of the Kolmogorov-Smirnov test also using simulations. The new test is more powerful than the Kolmogorov-Smirnov test in most of the studied cases. Acceptance regions for the PP, QQ and Michael's stabilized probability plots are derived, making it possible to visualize which data contribute to the decision of rejecting the null hypothesis. Finally, an illustrative example is presented."en
dc.identifier.issn1360-0532
dc.identifier.urihttp://ri.itba.edu.ar/handle/123456789/3843
dc.language.isoenen
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1080/02664760902984626
dc.relationinfo:eu-repo/grantAgreement/ANPCyT/PICT/21407/AR. Ciudad Autónoma de Buenos Aires
dc.relationinfo:eu-repo/grantAgreement/UBA/UBACyT/X-018 /AR. Ciudad Autónoma de Buenos Aires
dc.relationinfo:eu-repo/grantAgreement/CONICET/PIP/5505/AR. Ciudad Autónoma de Buenos Aires
dc.relationinfo:eu-repo/grantAgreement/FONDECYT/1080326/CL. Santiago de Chile
dc.relationinfo:eu-repo/grantAgreement/DIPUV/29-2006/CL. Santiago de Chile
dc.subjectESTADISTICAes
dc.subjectPRUEBASes
dc.subjectMETODOS DE MONTE CARLOes
dc.titleOn a goodness-of-fit test for normality with unknown parameters and type-II censored dataen
dc.typeArtículos de Publicaciones Periódicases
dc.typeinfo:eu-repo/semantics/acceptedVersion
dspace.entity.typeArtículo de Publicación Periódica
itba.description.filiationFil: Castro-Kuriss, Claudia. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiationFil: Kelmansky, Diana M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
itba.description.filiationFil: Leiva, Víctor. Pontificia Universidad Católica de Valparaíso; Chile.
itba.description.filiationFil: Martínez, Elena J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.

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