RUO Home

Repositorio Institucional de la Universidad de Oviedo

View Item 
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • View Item
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • View Item
    • español
    • English
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of RUOCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issnAuthor profilesThis CollectionBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issn

My Account

LoginRegister

Statistics

View Usage Statistics

RECENTLY ADDED

Last submissions
Repository
How to publish
Resources
FAQs

A statistical approach to prediction of the cmm drift behaviour using a calibrated mechanical artefact

Author:
Cuesta González, EduardoUniovi authority; Álvarez Álvarez, Braulio JoséUniovi authority; Sánchez Lasheras, FernandoUniovi authority; González Madruga, DanielUniovi authority
Publication date:
2015
Publisher version:
http://dx.doi.org/10.1515/mms-2015-0033
Citación:
Metrology And Measurement Systems, 22(3), p. 417-428 (2015); doi:10.1515/mms-2015-0033
Descripción física:
p. 417-428
URI:
http://hdl.handle.net/10651/36592
ISSN:
0860-8229; 2300-1941
DOI:
10.1515/mms-2015-0033
Patrocinado por:

Authors gratefully acknowledge the financial support provided by the Spanish Ministry of Economy and Competitiveness through FEDER (ERDF) research project DPI2012-36642

Id. Proyecto:

FEDER/DPI2012-36642

Collections
  • Artículos [32873]
  • Construcción e Ingeniería de Fabricación [354]
  • Investigaciones y Documentos OpenAIRE [6449]
Files in this item
Thumbnail
untranslated
A Statistical Approach.pdf (1.002Mb)
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadata
Show full item record
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
The content of the Repository, unless otherwise specified, is protected with a Creative Commons license: Attribution-Non Commercial-No Derivatives 4.0 Internacional
Creative Commons Image