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Article: Guidelines for statistical projects: General Aspects (Part I)

TitleGuidelines for statistical projects: General Aspects (Part I)
Authors
Issue Date1-Jul-2016
PublisherInternational Chinese Statistical Association
Citation
International Chinese Statistical Association Bulletin, 2016, v. 28, n. 2, p. 109-116 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 statistics project in order to improve readability and to reduce the error rates of theses, scientific papers, reports, and source code. The recommendations are not exhaustive, 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 lot of 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/10722/344869
ISSN

 

DC FieldValueLanguage
dc.contributor.authorHofert, M-
dc.contributor.authorSchepsmeier, U-
dc.date.accessioned2024-08-12T04:08:02Z-
dc.date.available2024-08-12T04:08:02Z-
dc.date.issued2016-07-01-
dc.identifier.citationInternational Chinese Statistical Association Bulletin, 2016, v. 28, n. 2, p. 109-116-
dc.identifier.issn2226-2393-
dc.identifier.urihttp://hdl.handle.net/10722/344869-
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 statistics project in order to improve readability and to reduce the error rates of theses, scientific papers, reports, and source code. The recommendations are not exhaustive, 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 lot of 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: General Aspects (Part I)-
dc.typeArticle-
dc.identifier.volume28-
dc.identifier.issue2-
dc.identifier.spage109-
dc.identifier.epage116-
dc.identifier.issnl2226-2393-

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