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Article: Guidelines for statistical projects: Coding and Typography (Part III)

TitleGuidelines for statistical projects: Coding and Typography (Part III)
Authors
Issue Date1-Jul-2017
PublisherInternational Chinese Statistical Association
Citation
International Chinese Statistical Association Bulletin, 2017, v. 29, n. 2, p. 113-122 How to Cite?
Abstract

Every student has a lot to learn when working on a statistical research or course project for the first time. This new column ”StatPro” contributed by Drs. Marius Hofert and Ulf Schepsmeier gives guidelines for conducting, implementing, and documenting statistical projects in order to improve readability and to reduce the error rates of theses, scientific papers, reports, and source code. The recommendations are notexhaustive, but serve as a starting point for improving your workflow and to avoid common pitfalls in statistical projects of larger scale. They save supervisors, students, package developers, and practitioners a lotof time, helping novices to quickly become statistics professionals (StatPro). The full original is available from the authors’ website. This column publishes bitesize pieces from the original that readers can sample easily.


Persistent Identifierhttp://hdl.handle.net/10722/344872
ISSN

 

DC FieldValueLanguage
dc.contributor.authorHofert, M-
dc.contributor.authorSchepsmeier, U-
dc.date.accessioned2024-08-12T04:08:03Z-
dc.date.available2024-08-12T04:08:03Z-
dc.date.issued2017-07-01-
dc.identifier.citationInternational Chinese Statistical Association Bulletin, 2017, v. 29, n. 2, p. 113-122-
dc.identifier.issn2226-2393-
dc.identifier.urihttp://hdl.handle.net/10722/344872-
dc.description.abstract<p>Every student has a lot to learn when working on a statistical research or course project for the first time. This new column ”StatPro” contributed by Drs. Marius Hofert and Ulf Schepsmeier gives guidelines for conducting, implementing, and documenting statistical projects in order to improve readability and to reduce the error rates of theses, scientific papers, reports, and source code. The recommendations are notexhaustive, but serve as a starting point for improving your workflow and to avoid common pitfalls in statistical projects of larger scale. They save supervisors, students, package developers, and practitioners a lotof time, helping novices to quickly become statistics professionals (StatPro). The full original is available from the authors’ website. This column publishes bitesize pieces from the original that readers can sample easily.<br></p>-
dc.languageeng-
dc.publisherInternational Chinese Statistical Association-
dc.relation.ispartofInternational Chinese Statistical Association Bulletin-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleGuidelines for statistical projects: Coding and Typography (Part III)-
dc.typeArticle-
dc.identifier.volume29-
dc.identifier.issue2-
dc.identifier.spage113-
dc.identifier.epage122-
dc.identifier.issnl2226-2393-

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