2012, ISBN: 9781461422990
Springer, Kindle Edition, Auflage: 2012, 191 Seiten, Publiziert: 2012-02-22T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Verkaufsrang: 3563154, Probability & Statistics, Applied, … Altro …
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2012, ISBN: 9781461422990
Springer, Kindle Ausgabe, Auflage: 2012, 191 Seiten, Publiziert: 2012-02-22T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Statistik, Naturwissenschaft & Mathematik, Fachbücher, Kat… Altro …
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ISBN: 9781461422990
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2012, ISBN: 9781461422990
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2012, ISBN: 9781461422990
Springer, Kindle Edition, Auflage: 2012, 191 Seiten, Publiziert: 2012-02-22T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Verkaufsrang: 3563154, Probability & Statistics, Applied, … Altro …
Højsgaard, Søren, Edwards, David, Lauritzen, Steffen:
Graphical Models with R (Use R!) (English Edition) - nuovo libro2012, ISBN: 9781461422990
Springer, Kindle Ausgabe, Auflage: 2012, 191 Seiten, Publiziert: 2012-02-22T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Statistik, Naturwissenschaft & Mathematik, Fachbücher, Kat… Altro …
ISBN: 9781461422990
This book offers an introduction to graphical modeling using R and the main features of some of these packages.It provides examples of how more advanced aspects of graphical modeling can … Altro …
ISBN: 9781461422990
Graphical Models with R: ab 74.99 € eBooks > Fachthemen & Wissenschaft > Mathematik Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
2012, ISBN: 9781461422990
eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2012
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Informazioni dettagliate del libro - Graphical Models with R (Use R!) (English Edition)
EAN (ISBN-13): 9781461422990
ISBN (ISBN-10): 146142299X
Anno di pubblicazione: 2012
Editore: Springer
182 Pagine
Lingua: eng/Englisch
Libro nella banca dati dal 2012-01-05T09:04:14+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-08-03T03:38:07+02:00 (Zurich)
ISBN/EAN: 146142299X
ISBN - Stili di scrittura alternativi:
1-4614-2299-X, 978-1-4614-2299-0
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : lauritz lauritzen, david edwards, garhammer
Titolo del libro: graphica
Dati dell'editore
Autore: Søren Højsgaard; David Edwards; Steffen Lauritzen
Titolo: Use R! Graphical Models with R
Editore: Springer; Springer US
182 Pagine
Anno di pubblicazione: 2012-02-22
New York; NY; US
Lingua: Inglese
80,24 € (DE)
82,50 € (AT)
88,50 CHF (CH)
Available
IX, 182 p. 112 illus., 24 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Bayesian Networks; Graphical Models; Log-Linear Models; R; Stochastic Systems; A; Statistical Theory and Methods; Statistics; Mathematics and Statistics; BC
Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R interface to existing software. This book attempts to give the reader a gentle introduction to graphical modeling using R and the main features of some of these packages. In addition, the book provides examples of how more advanced aspects of graphical modeling can be represented and handled within R. Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models, Bayesian networks and modeling high dimensional data.Søren Højsgaard is Associate Professor in Statistics and Head of the Department of Mathematical Sciences at Aalborg University.David Edwards is Associate Professor at the Department of Molecular Biology and Genetics, Aarhus University.Steffen Lauritzen is Professor of Statistics and Head of the Department of Statistics at the University of Oxford.Leaders in the field instruct using graphs and color images Provides valuable information on graphical modelling with R Including instructions to better understand relevant software programs Includes supplementary material: sn.pub/extras
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