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Añadir al carritoCondición: New. In English.
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoPaperback. Condición: New. 1st ed. 2016.
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
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Añadir al carritoPaperback. Condición: New. 1st ed. 2016.
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Añadir al carritoPaperback. Condición: Brand New. 344 pages. 9.25x6.25x1.00 inches. In Stock.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 74,89
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a 'How To' guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub.Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK.
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Añadir al carritoTaschenbuch. Condición: Neu. Data-driven Modelling of Structured Populations | A Practical Guide to the Integral Projection Model | Stephen P. Ellner (u. a.) | Taschenbuch | Lecture Notes on Mathematical Modelling in the Life Sciences | xiii | Englisch | 2016 | Springer | EAN 9783319288918 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer International Publishing Mai 2016, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a 'How To' guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub.Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK. 344 pp. Englisch.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Springer International Publishing, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Librería: moluna, Greven, Alemania
EUR 65,94
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The only comprehensive monograph on Integral Projection Models in ecologyAccessible to beginners with minimal math and statistics background, but also includes cutting-edge researchPresents a wide range of model.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Mai 2016, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 74,89
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a 'How To' guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub.Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.