Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
Edition originale
EUR 76,42
Quantité disponible : 4 disponible(s)
Ajouter au panierpaperback. Etat : New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 112,80
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 116,53
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 115,23
Quantité disponible : 15 disponible(s)
Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 121,48
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 128,93
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 115,22
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Langue: anglais
Edité par SAGE Publications Inc, Thousand Oaks, 2022
ISBN 10 : 1544324901 ISBN 13 : 9781544324906
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 136,26
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. It offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 124,37
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 127,03
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 148,99
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 708 pages. 8.75x7.25x1.25 inches. In Stock.
EUR 111,40
Quantité disponible : 5 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Categorical Data Analysis and Multilevel Modeling Using R | Xing Liu | Taschenbuch | Englisch | Sage Publications | EAN 9781544324906 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Langue: anglais
Edité par SAGE Publications Inc, Thousand Oaks, 2022
ISBN 10 : 1544324901 ISBN 13 : 9781544324906
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 198,71
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. It offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Langue: anglais
Edité par SAGE Publications Inc Mai 2022, 2022
ISBN 10 : 1544324901 ISBN 13 : 9781544324906
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 135,30
Quantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal,and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site. 744 pp. Englisch.
Langue: anglais
Edité par Sage Publications|SAGE Publications, Inc, 2022
ISBN 10 : 1544324901 ISBN 13 : 9781544324906
Vendeur : moluna, Greven, Allemagne
EUR 119,14
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. It offers a unified framework for b.
Langue: anglais
Edité par Sage Publications, SAGE Publications, Inc, 2022
ISBN 10 : 1544324901 ISBN 13 : 9781544324906
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 143,25
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal,and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.