Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 91,82
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 97,14
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 82,51
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Da: Books Puddle, New York, NY, U.S.A.
EUR 104,18
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Da: Majestic Books, Hounslow, Regno Unito
EUR 100,26
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 94,56
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 93,84
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 109,79
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 143,34
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 232,28
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 232,93
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 255,31
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Da: Majestic Books, Hounslow, Regno Unito
EUR 249,79
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 244,71
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Da: Books Puddle, New York, NY, U.S.A.
EUR 271,99
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Da: Revaluation Books, Exeter, Regno Unito
EUR 266,76
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Aggiungi al carrelloHardcover. Condizione: Brand New. 337 pages. 9.75x6.50x1.00 inches. In Stock.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 274,63
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 82,52
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Da: Revaluation Books, Exeter, Regno Unito
EUR 105,32
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 90,60
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided. The example analyses proceed step-by-step using code listed in the book and from the book's companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students.Featured Chapters:Model Parameter Estimation provides a detailed explanation of the requirements and steps involved in fitting models to data, using R and, mainly, maximum likelihood methods. On Uncertainty uses R to implement bootstrapping, likelihood profiles, asymptotic errors, and Bayesian posteriors to characterize any uncertainty in an analysis. The use of the Monte Carlo Markov Chain methodology is examined in some detail. Surplus Production Models applies all the methods examined in the earlier parts of the book to conducting a stock assessment. This included fitting alternative models to the available data, characterizing the uncertainty in different ways, and projecting the optimum models forward in time as the basis for providing useful management advice. 352 pp. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 101,29
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided. The example analyses proceed step-by-step using code listed in the book and from the book's companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students.Featured Chapters:Model Parameter Estimation provides a detailed explanation of the requirements and steps involved in fitting models to data, using R and, mainly, maximum likelihood methods. On Uncertainty uses R to implement bootstrapping, likelihood profiles, asymptotic errors, and Bayesian posteriors to characterize any uncertainty in an analysis. The use of the Monte Carlo Markov Chain methodology is examined in some detail. Surplus Production Models applies all the methods examined in the earlier parts of the book to conducting a stock assessment. This included fitting alternative models to the available data, characterizing the uncertainty in different ways, and projecting the optimum models forward in time as the basis for providing useful management advice.
Da: moluna, Greven, Germania
EUR 84,10
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Malcolm Haddon has at least 35 years of experience in fisheries science, having worked in the Department of New Zealand Fisheries, the University of Sydney, the Australian Maritime College, the University of Tasmania, and, most recen.
Da: moluna, Greven, Germania
EUR 206,27
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Malcolm Haddon has at least 35 years of experience in fisheries science, having worked in the Department of New Zealand Fisheries, the University of Sydney, the Australian Maritime College, the University of Tasmania, and, most recen.