Edité par Springer (edition 1st ed. 2020), 2020
ISBN 10 : 3030607496 ISBN 13 : 9783030607494
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
EUR 53,53
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Ajouter au panierHardcover. Etat : Very Good. 1st ed. 2020. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 67,37
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Ajouter au panierEtat : New. In.
Edité par Springer International Publishing, Springer International Publishing, 2021
ISBN 10 : 3030607526 ISBN 13 : 9783030607524
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 64,19
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Ajouter au panierTaschenbuch. Etat : 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.
Edité par Springer International Publishing, 2020
ISBN 10 : 3030607496 ISBN 13 : 9783030607494
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 64,19
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : 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.
Edité par Springer International Publishing, Springer International Publishing Nov 2020, 2020
ISBN 10 : 3030607496 ISBN 13 : 9783030607494
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 64,19
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : 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.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 63,65
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Ajouter au panierEtat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 77,75
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 67,36
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 71,35
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 73,67
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 93,38
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Ajouter au panierHardcover. Etat : Brand New. 195 pages. 9.25x6.10x0.63 inches. In Stock.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 99,42
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Ajouter au panierPaperback. Etat : Brand New. 195 pages. 9.25x6.10x0.43 inches. In Stock.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Ajouter au panierEtat : New.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 114,24
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Ajouter au panierHardcover. Etat : New. New. book.
Edité par Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10 : 3030607526 ISBN 13 : 9783030607524
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 55,78
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Ajouter au panierEtat : 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.
Edité par Springer International Publishing, 2020
ISBN 10 : 3030607496 ISBN 13 : 9783030607494
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 55,78
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierGebunden. Etat : 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.
Edité par Springer International Publishing Nov 2020, 2020
ISBN 10 : 3030607496 ISBN 13 : 9783030607494
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 64,19
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : 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.
Edité par Springer International Publishing Nov 2021, 2021
ISBN 10 : 3030607526 ISBN 13 : 9783030607524
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 64,19
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.
Edité par Springer International Publishing, Springer Nature Switzerland Nov 2021, 2021
ISBN 10 : 3030607526 ISBN 13 : 9783030607524
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 64,19
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.