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Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Editore: Springer; 2012th edition (February 18, 2012), 2012
ISBN 10: 1461422981 ISBN 13: 9781461422983
Da: Tacoma Book Center, Tacoma, WA, U.S.A.
Prima edizione
Paperback. Condizione: Very Good. Condizione sovraccoperta: No Dustjacket. First Edition. ISBN 9781461422983. Trade paperback. Near Fine condition. Tight bright attractive copy with no markings to the book. This book is Graphical Models with R (Use R!). No Signature.
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Condizione: New. pp. 194.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2012 edition. 191 pages. 8.75x6.00x0.25 inches. In Stock.
Lingua: Inglese
Editore: Springer New York, Springer US Feb 2012, 2012
ISBN 10: 1461422981 ISBN 13: 9781461422983
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 85,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -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 bookprovides 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 192 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Graphical Models with R | Søren Højsgaard (u. a.) | Taschenbuch | ix | Englisch | 2012 | Springer | EAN 9781461422983 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Lingua: Inglese
Editore: Springer-Verlag New York Inc., 2012
ISBN 10: 1461422981 ISBN 13: 9781461422983
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Springer New York, Chapman And Hall/CRC Feb 2012, 2012
ISBN 10: 1461422981 ISBN 13: 9781461422983
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 192 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 194 126 Illus. (24 Col.).
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 194.