Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Language: English
Published by New Age International (P) Ltd., 2010
ISBN 10: 8122431275 ISBN 13: 9788122431278
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. xxii + 329 Figures.
Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Springer International Publishing AG, CH, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
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Language: English
Published by Princeton University Press, Princeton, New Jersey/ Woodstock Oxfordshire, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
Seller: Good Reading Secondhand Books, Benalla, VIC, Australia
Soft cover. Condition: Very Good. xxii 329 pages,indexed.The book has been covered in contact, else a clean, unmarked and solid copy. 'From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians." (Back cover) Overseas customers please note the book is heavy and will attract additional postage.
Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Language: English
Published by Springer International Publishing AG, CH, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
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Add to basketPaperback. Condition: Brand New. 344 pages. 9.25x6.25x1.00 inches. In Stock.
Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Add to basketCondition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
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Language: English
Published by Springer, Palgrave Macmillan, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Taschenbuch. Condition: 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.
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Add to basketPaperback. Condition: Brand New. illustrated edition. 352 pages. 9.50x6.75x0.80 inches. In Stock.
Language: English
Published by Springer International Publishing Mai 2016, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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.
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Language: English
Published by Springer International Publishing, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
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Condition: 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.
Language: English
Published by Springer, Palgrave Macmillan Mai 2016, 2016
ISBN 10: 3319288911 ISBN 13: 9783319288918
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
Seller: moluna, Greven, Germany
US$ 109.85
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. From controlling disease outbreaks to predicting heart attacks, dynamic models are crucial for understanding biological processes. This book teaches how to use dynamic models in biology. It is organized around biological applications, with mathematics and c.
Language: English
Published by Princeton University Press, 2006
ISBN 10: 0691125899 ISBN 13: 9780691125893
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Dynamic Models in Biology | Stephen P. Ellner (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2006 | Princeton University Press | EAN 9780691125893 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.