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Albatross analytics a hands-on into practice: statistical and data science application
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Caraka, Rezzy Eko | - |
dc.contributor.author | Lee, Youngjo | - |
dc.contributor.author | Han, Jeongseop | - |
dc.contributor.author | Lee, Hangbin | - |
dc.contributor.author | Noh, Maengseok | - |
dc.contributor.author | Ha, Il Do | - |
dc.contributor.author | Gio, Prana Ugiana | - |
dc.contributor.author | Pardamean, Bens | - |
dc.date.accessioned | 2022-09-30T06:48:02Z | - |
dc.date.available | 2022-09-30T06:48:02Z | - |
dc.date.created | 2022-06-15 | - |
dc.date.issued | 2022-05 | - |
dc.identifier.citation | Journal of Big Data, Vol.9 No.1, p. 70 | - |
dc.identifier.issn | 2196-1115 | - |
dc.identifier.uri | https://hdl.handle.net/10371/185192 | - |
dc.description.abstract | Albatross 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.language | 영어 | - |
dc.publisher | Springer | - |
dc.title | Albatross analytics a hands-on into practice: statistical and data science application | - |
dc.type | Article | - |
dc.identifier.doi | 10.1186/s40537-022-00626-y | - |
dc.citation.journaltitle | Journal of Big Data | - |
dc.identifier.wosid | 000805589200001 | - |
dc.identifier.scopusid | 2-s2.0-85130724223 | - |
dc.citation.number | 1 | - |
dc.citation.startpage | 70 | - |
dc.citation.volume | 9 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Lee, Youngjo | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
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