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Please use this identifier to cite or link to this item: http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5442
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dc.contributor.authorPerera, Piumi-
dc.contributor.authorSooriyarachchi, M.R.-
dc.contributor.authorWickremasuriya, Shanika-
dc.date.accessioned2021-07-07T03:22:18Z-
dc.date.available2021-07-07T03:22:18Z-
dc.date.issued2016-
dc.identifier.citationPerera, P, Sooriyarachchi, M.R. and Wickremasuriya, S. A Goodness of fit test for the Multilevel logistic model. Communications in Statistics (Simulation and Computation). Communications in Statistics—Simulation and Computation R®, 45: 1–17, 2016en_US
dc.identifier.issn0361-0918 print /1532-4141 online-
dc.identifier.urihttp://archive.cmb.ac.lk:8080/xmlui/handle/70130/5442-
dc.description.abstractIt is crucial to test the goodness of fit of a model before it is used to make statistical inferences. However, no satisfactory goodness of fit test is available for the case of categorical multilevel data which occur when categorical data are clustered or hierar-chical in nature. Hence the aim of this paper is to develop a new goodness of fit test for multilevel binary data based on Hosmer and Lemeshow and Lipsitz et.al. In order to identify the properties of the developed test, simulation studies were carried out to assess the Type I error and the power.en_US
dc.description.sponsorshipNo sponsorsen_US
dc.language.isoenen_US
dc.publisherTaylor and Francisen_US
dc.subjectBinary data, Multilevel models, Hosmer Lemeshow test, Simulation, Type I error, Poweren_US
dc.titleA Goodness of fit test for the Multilevel logistic modelen_US
dc.typeArticleen_US
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