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Albatross analytics a hands-on into practice: statistical and data science application

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dc.contributor.authorCaraka, Rezzy Eko-
dc.contributor.authorLee, Youngjo-
dc.contributor.authorHan, Jeongseop-
dc.contributor.authorLee, Hangbin-
dc.contributor.authorNoh, Maengseok-
dc.contributor.authorHa, Il Do-
dc.contributor.authorGio, Prana Ugiana-
dc.contributor.authorPardamean, Bens-
dc.date.accessioned2022-09-30T06:48:02Z-
dc.date.available2022-09-30T06:48:02Z-
dc.date.created2022-06-15-
dc.date.issued2022-05-
dc.identifier.citationJournal of Big Data, Vol.9 No.1, p. 70-
dc.identifier.issn2196-1115-
dc.identifier.urihttps://hdl.handle.net/10371/185192-
dc.description.abstractAlbatross Analytics is a statistical and data science data processing platform that researchers can use in disciplines of various fields. Albatross Analytics makes it easy to implement fundamental analysis for various regressions with random model effects, including Hierarchical Generalized Linear Models (HGLMs), Double Hierarchical Generalized Linear Models (DHGLMs), Multivariate Double Hierarchical Generalized Linear Models (MDHGLMs), Survival Analysis, Frailty Models, Support Vector Machines (SVMs), and Hierarchical Likelihood Structural Equation Models (HSEMs). We provide 94 types of dataset examples.-
dc.language영어-
dc.publisherSpringer-
dc.titleAlbatross analytics a hands-on into practice: statistical and data science application-
dc.typeArticle-
dc.identifier.doi10.1186/s40537-022-00626-y-
dc.citation.journaltitleJournal of Big Data-
dc.identifier.wosid000805589200001-
dc.identifier.scopusid2-s2.0-85130724223-
dc.citation.number1-
dc.citation.startpage70-
dc.citation.volume9-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorLee, Youngjo-
dc.type.docTypeArticle-
dc.description.journalClass1-
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