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D. Kleinbaum, - Editeur scientifique ; K. Sullivan, - Editeur scientifique ; N. Barker, - Editeur scientifique | New-York [USA] : Springer | 2003Langue(s) du résumé : ENGouvrage
I. Gibson, - Editeur scientifique ; D. Rosen, - Editeur scientifique ; B. Stucker, - Editeur scientifique | New-York [USA] : Springer | 2015This book covers in detail the various aspects of joining materials to form parts. A conceptual overview of rapid prototyping and layered manufacturing is given, beginning with the fundamentals so that readers can get up to speed quickly. Unusu[...]ouvrage
P. Fox, - Editeur scientifique ; P. Mcsweeney, - Editeur scientifique | New-York [USA] : Springer | 2006Périodique : périodique
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The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeolo[...]ouvrage
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G. James, - Auteur ; D. Witten, - Auteur ; T. Hastie, - Auteur | New-York [USA] : Springer | Springer texts in statistics, ISSN 1431-875X | 2013ouvrage
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G. Proetzel, - Auteur ; H. Ebersbach, - Auteur | New-York [USA] : Springer | Methods in Molecular Biology, ISSN 1064-3745 | 2012ouvrage
This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time serie[...]ouvrage
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R. Bivand, - Auteur ; V. Gómez-Rubio, - Auteur ; E. Pebesma, - Auteur | New-York [USA] : Springer | 2008Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Da[...]ouvrage
R. Bivand, - Auteur ; E. Pebesma, - Auteur ; V. Gómez-Rubio, - Auteur | New-York [USA] : Springer | Use R! | 2013Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise [...]