Quality Control with R An ISO Standards Approach - Emilio L. Cano.pdf

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UseR !
Emilio L. Cano
Javier M. Moguerza
Mariano Prieto Corcoba
Quality
Control
with R
An ISO Standards Approach
Use R!
Series Editors:
Robert Gentleman
Kurt Hornik
Giovanni Parmigiani
More information about this series at
http://www.springer.com/series/6991
Use R!
Albert:
Bayesian Computation with R (2nd ed. 2009)
Bivand/Pebesma/Gómez-Rubio:
Applied Spatial Data Analysis with R (2nd ed.
2013)
Cook/Swayne:
Interactive and Dynamic Graphics for Data Analysis:
With R and GGobi
Hahne/Huber/Gentleman/Falcon:
Bioconductor Case Studies
Paradis:
Analysis of Phylogenetics and Evolution with R (2nd ed. 2012)
Pfaff:
Analysis of Integrated and Cointegrated Time Series with R (2nd ed. 2008)
Sarkar:
Lattice: Multivariate Data Visualization with R
Spector:
Data Manipulation with R
Emilio L. Cano • Javier M. Moguerza
Mariano Prieto Corcoba
Quality Control with R
An ISO Standards Approach
123
Emilio L. Cano
Department of Computer Science
and Statistics
Rey Juan Carlos University
Madrid, Spain
Statistics Area, DHEP
The University of Castilla-La Mancha
Ciudad Real, Spain
Mariano Prieto Corcoba
ENUSA Industrias Avanzadas
Madrid, Spain
Javier M. Moguerza
Department of Computer Science
and Statistics
Rey Juan Carlos University
Madrid, Spain
ISSN 2197-5736
ISSN 2197-5744 (electronic)
Use R!
ISBN 978-3-319-24044-2
ISBN 978-3-319-24046-6 (eBook)
DOI 10.1007/978-3-319-24046-6
Library of Congress Control Number: 2015952314
Springer Cham Heidelberg New York Dordrecht London
© Springer International Publishing Switzerland 2015
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errors or omissions that may have been made.
Printed on acid-free paper
Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.
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