Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: Speedyhen, London, Regno Unito
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Editore: Cambridge University Press, GB, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 28,45
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Aggiungi al carrelloPaperback. Condizione: New. In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than that in a basic statistics course. At the end of the process, readers will understand the core tenets of Bayesian theory and practice in a way that enables them to specify, implement, and understand models using practical social science data. Chapters will cover theoretical principles and real-world applications that provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in both R and Python is provided throughout.
Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 29,56
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Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 25,50
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Editore: Cambridge University Press, GB, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 31,64
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Aggiungi al carrelloPaperback. Condizione: New. In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than that in a basic statistics course. At the end of the process, readers will understand the core tenets of Bayesian theory and practice in a way that enables them to specify, implement, and understand models using practical social science data. Chapters will cover theoretical principles and real-world applications that provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in both R and Python is provided throughout.
Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 24,67
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Editore: Cambridge University Press 10/24/2024, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 24,12
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Bayesian Social Science Statistics. Book.
Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: Kennys Bookstore, Olney, MD, U.S.A.
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ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 21,79
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Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 24,38
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Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 24,66
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EUR 30,74
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Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 27,79
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. The readers will understand Bayesian theory and practice using social science data.
Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 18,93
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Editore: Cambridge University Press 2024-05-31, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 21,84
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Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 38,27
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Editore: Cambridge University Press, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 28,91
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Editore: Cambridge University Press, Cambridge, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 27,74
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than that in a basic statistics course. At the end of the process, readers will understand the core tenets of Bayesian theory and practice in a way that enables them to specify, implement, and understand models using practical social science data. Chapters will cover theoretical principles and real-world applications that provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in both R and Python is provided throughout. In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. The readers will understand Bayesian theory and practice using social science data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, 2024
ISBN 10: 1009494694 ISBN 13: 9781009494694
Lingua: Inglese
Da: Books From California, Simi Valley, CA, U.S.A.
EUR 53,32
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Editore: Cambridge University Press, Cambridge, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 38,92
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than that in a basic statistics course. At the end of the process, readers will understand the core tenets of Bayesian theory and practice in a way that enables them to specify, implement, and understand models using practical social science data. Chapters will cover theoretical principles and real-world applications that provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in both R and Python is provided throughout. In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. The readers will understand Bayesian theory and practice using social science data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Cambridge University Press, 2024
ISBN 10: 1009494694 ISBN 13: 9781009494694
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 72,34
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Editore: Cambridge University Press, GB, 2024
ISBN 10: 1009494694 ISBN 13: 9781009494694
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 81,91
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Aggiungi al carrelloHardback. Condizione: New. In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than that in a basic statistics course. At the end of the process, readers will understand the core tenets of Bayesian theory and practice in a way that enables them to specify, implement, and understand models using practical social science data. Chapters will cover theoretical principles and real-world applications that provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in both R and Python is provided throughout.
Editore: Cambridge University Press, 2024
ISBN 10: 1009494694 ISBN 13: 9781009494694
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 70,38
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Editore: Cambridge University Press, 2024
ISBN 10: 1009494694 ISBN 13: 9781009494694
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 72,32
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Editore: Cambridge University Press, GB, 2024
ISBN 10: 1009494694 ISBN 13: 9781009494694
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 88,33
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Aggiungi al carrelloHardback. Condizione: New. In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than that in a basic statistics course. At the end of the process, readers will understand the core tenets of Bayesian theory and practice in a way that enables them to specify, implement, and understand models using practical social science data. Chapters will cover theoretical principles and real-world applications that provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in both R and Python is provided throughout.
Editore: Cambridge University Press, 2024
ISBN 10: 1009494694 ISBN 13: 9781009494694
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 64,82
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Editore: Cambridge University Press, 2024
ISBN 10: 1009494694 ISBN 13: 9781009494694
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 76,62
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Editore: Cambridge University Press, Cambridge, 2024
ISBN 10: 1009341197 ISBN 13: 9781009341196
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 28,36
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. No previous knowledge is required other than that in a basic statistics course. At the end of the process, readers will understand the core tenets of Bayesian theory and practice in a way that enables them to specify, implement, and understand models using practical social science data. Chapters will cover theoretical principles and real-world applications that provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in both R and Python is provided throughout. In this Element, the authors introduce Bayesian probability and inference for social science students and practitioners starting from the absolute beginning and walk readers steadily through the Element. The readers will understand Bayesian theory and practice using social science data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2024
ISBN 10: 1009494694 ISBN 13: 9781009494694
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 78,94
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Editore: Cambridge University Press, 2024
ISBN 10: 1009494694 ISBN 13: 9781009494694
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 97,36
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