Editore: Springer (edition 1st ed. 2020), 2020
ISBN 10: 3030607496 ISBN 13: 9783030607494
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Very Good. 1st ed. 2020. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 63,42
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Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 63,41
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Revaluation Books, Exeter, Regno Unito
EUR 93,22
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Aggiungi al carrelloHardcover. Condizione: Brand New. 195 pages. 9.25x6.10x0.63 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 99,49
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Aggiungi al carrelloPaperback. Condizione: Brand New. 195 pages. 9.25x6.10x0.43 inches. In Stock.
Editore: Springer International Publishing, Springer International Publishing Nov 2020, 2020
ISBN 10: 3030607496 ISBN 13: 9783030607494
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 64,19
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated.This monograph contains numerous worked examples and the requisite computer programs. The latter are easily modified to meet new situations. A primer on probability distributions is also included because these form the basis of Bayesian inference.Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch.
Editore: Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030607526 ISBN 13: 9783030607524
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 64,19
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated.This monograph contains numerous worked examples and the requisite computer programs. The latter are easily modified to meet new situations. A primer on probability distributions is also included because these form the basis of Bayesian inference.Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference.
Editore: Springer International Publishing, 2020
ISBN 10: 3030607496 ISBN 13: 9783030607494
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 64,19
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated.This monograph contains numerous worked examples and the requisite computer programs. The latter are easily modified to meet new situations. A primer on probability distributions is also included because these form the basis of Bayesian inference.Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference.
Editore: Springer Nature Switzerland, 2021
ISBN 10: 3030607526 ISBN 13: 9783030607524
Lingua: Inglese
Da: preigu, Osnabrück, Germania
EUR 58,00
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Introduction to Bayesian Methods in Ecology and Natural Resources | Edwin J. Green (u. a.) | Taschenbuch | xii | Englisch | 2021 | Springer Nature Switzerland | EAN 9783030607524 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 111,31
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Aggiungi al carrelloHardcover. Condizione: New. New. book.
Editore: Springer International Publishing Nov 2020, 2020
ISBN 10: 3030607496 ISBN 13: 9783030607494
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 64,19
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated.This monograph contains numerous worked examples and the requisite computer programs. The latter are easily modified to meet new situations. A primer on probability distributions is also included because these form the basis of Bayesian inference.Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference. 200 pp. Englisch.
Editore: Springer International Publishing Nov 2021, 2021
ISBN 10: 3030607526 ISBN 13: 9783030607524
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 64,19
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated.This monograph contains numerous worked examples and the requisite computer programs. The latter are easily modified to meet new situations. A primer on probability distributions is also included because these form the basis of Bayesian inference.Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference. 200 pp. Englisch.
Editore: Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030607526 ISBN 13: 9783030607524
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 55,78
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management.This book presents modern Bayesian analysis in a format that is accessible to resear.
Editore: Springer International Publishing, 2020
ISBN 10: 3030607496 ISBN 13: 9783030607494
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 55,78
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides insightful background and rationale in support of the Bayesian approach for natural resource and ecological applications Offers extensive worked examples of biological data analysis, using open source software, with emphasis on model.
Editore: Springer International Publishing, Springer Nature Switzerland Nov 2021, 2021
ISBN 10: 3030607526 ISBN 13: 9783030607524
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 64,19
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated.This monograph contains numerous worked examples and the requisite computer programs. The latter are easily modified to meet new situations. A primer on probability distributions is also included because these form the basis of Bayesian inference.Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch.
Editore: Springer International Publishing, 2020
ISBN 10: 3030607496 ISBN 13: 9783030607494
Lingua: Inglese
Da: preigu, Osnabrück, Germania
EUR 58,00
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Introduction to Bayesian Methods in Ecology and Natural Resources | Edwin J. Green (u. a.) | Buch | xii | Englisch | 2020 | Springer International Publishing | EAN 9783030607494 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.