Titre:case studies in business, industry and government statistics
La description :case studies in statistics...
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L'adresse IP principale: 134.206.83.42,Votre serveur France,Villeneuve
ISP:Universite Lille 1 Sciences et Technologies TLD:fr Code postal:fr
Ce rapport est mis à jour en 20-Jul-2018
Created Date:
2013-10-10
Changed Date:
2017-10-10
Expires Date:
2018-10-10
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skip to main content skip to main navigation menu skip to site footer current archives about about the journal submissions contact search search login current issue vol 6 no 2 (2016) published: 2016-10-18 editor's foreword editor's foreword christine thomas-agnan pdf articles spatial cluster detection for socio-economic data lionel cucala, christophe demattei 1-9 pdf crossing streets in saigon xavier bressaud 10-16 pdf medicare charges and payments : data analysis, benford’s law and imputation of missing data john quinn, phyllis schumacher, alan olinsky 17-35 pdf two-dimensional sampling in practice hélène juillard 36-49 pdf view all issues the peer-reviewed journal serves as a forum for writers of data analysis case studies from any environment where statistical analysis is used. as such the journal both fosters a better communication between these different environments and helps improve statistical training overall. in particular, csbigs encourages consultants to submit their work. in this manner, the commissioning party will receive peer reviewed research, ensuring that the quality of the statistical work commissioned is of the latest international scientific standard. if the commissioning party so wishes, the research published can be rewritten by authors to preserve the privacy and anonymity of the commissioning party. to ensure confidentiality, the editorial board will sign a non disclosure statement if requested (in cases where the true identity of the commissioning party is known to the editorial board). the journal seeks to achieve a balance between originality and accessibility in its case studies. in order to facilitate usability, each article identifies its intended audience and makes available to readers in electronic form a data set - which can be a subset of that used in the case study, masked if necessary for confidentiality - to be used to apply the methods presented in the article. the case studies also gives sufficient instructions about the software needed for readers to run the analyses. make a submission language english français (canada)
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nic-hdl: LA5223-FRNIC type: PERSON contact: Laurent Azema address: CNRS MATHRICE address: 21, avenue Claude Bernard address: 69622 Villeurbanne country: FR phone: +33 4 72 44 85 46 e-mail: laurent.azema@math.cnrs.fr registrar: GIP RENATER changed: 10/12/2015 nic@nic.fr anonymous: NO obsoleted: NO source: FRNIC
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