Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 22,67
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press 3/19/2026, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Bayesian Social Science Statistics. Book.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: California Books, Miami, FL, U.S.A.
EUR 25,72
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 28,14
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level of Gill and Bao (2024). Some matrix algebra knowledge is assumed but the authors walk carefully through the necessary structures at the start of this Element. At the end of the process readers will fully understand how Bayesian regression models are developed and estimated, including linear and nonlinear versions. The sections cover theoretical principles and real-world applications in order to provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in R and Python is provided throughout.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 26,20
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press -, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Chiron Media, Wallingford, Regno Unito
EUR 22,03
Quantità: 2 disponibili
Aggiungi al carrellopaperback. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 29,60
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 2026. paperback. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Revaluation Books, Exeter, Regno Unito
EUR 30,98
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 116 pages. 6.00x0.24x9.00 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 24,98
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2026. paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 29,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: CitiRetail, Stevenage, Regno Unito
EUR 27,96
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level of Gill and Bao (2024). Some matrix algebra knowledge is assumed but the authors walk carefully through the necessary structures at the start of this Element. At the end of the process readers will fully understand how Bayesian regression models are developed and estimated, including linear and nonlinear versions. The sections cover theoretical principles and real-world applications in order to provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in R and Python is provided throughout. This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level. The sections cover theoretical principles and real-world applications to provide motivation and intuition. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 27,79
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level of Gill and Bao (2024). Some matrix algebra knowledge is assumed but the authors walk carefully through the necessary structures at the start of this Element. At the end of the process readers will fully understand how Bayesian regression models are developed and estimated, including linear and nonlinear versions. The sections cover theoretical principles and real-world applications in order to provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in R and Python is provided throughout.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Rarewaves.com UK, London, Regno Unito
EUR 25,42
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level of Gill and Bao (2024). Some matrix algebra knowledge is assumed but the authors walk carefully through the necessary structures at the start of this Element. At the end of the process readers will fully understand how Bayesian regression models are developed and estimated, including linear and nonlinear versions. The sections cover theoretical principles and real-world applications in order to provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in R and Python is provided throughout.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level of Gill and Bao (2024). Some matrix algebra knowledge is assumed but the authors walk carefully through the necessary structures at the start of this Element. At the end of the process readers will fully understand how Bayesian regression models are developed and estimated, including linear and nonlinear versions. The sections cover theoretical principles and real-world applications in order to provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in R and Python is provided throughout. This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level. The sections cover theoretical principles and real-world applications to provide motivation and intuition. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Revaluation Books, Exeter, Regno Unito
EUR 20,88
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Majestic Books, Hounslow, Regno Unito
EUR 40,15
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 40,42
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 47,34
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level of Gill and Bao (2024). Some matrix algebra knowledge is assumed but the authors walk carefully through the necessary structures at the start of this Element. At the end of the process readers will fully understand how Bayesian regression models are developed and estimated, including linear and nonlinear versions. The sections cover theoretical principles and real-world applications in order to provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in R and Python is provided throughout. This Element introduces the basics of Bayesian regression modeling using modern computational tools and assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level. The sections cover theoretical principles and real-world applications to provide motivation and intuition. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2026
ISBN 10: 1009340972 ISBN 13: 9781009340977
Da: preigu, Osnabrück, Germania
EUR 31,30
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Bayesian Social Science Statistics | Jeff Gill (u. a.) | Taschenbuch | Englisch | 2026 | Cambridge University Press | EAN 9781009340977 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.