Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
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Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
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Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 108,23
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Añadir al carritoCondición: New. 2012. 1st Edition. Hardcover. Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. Series: Princeton Series in Theoretical and Computational Biology. Num Pages: 520 pages, 53 line illus. 1 table. BIC Classification: MBNS; PBWH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 259 x 178 x 33. Weight in Grams: 1206. . . . . .
Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 123,40
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Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 117,82
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Idioma: Inglés
Publicado por Princeton University Press, US, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 139,21
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Añadir al carritoHardback. Condición: New. Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided.* Covers the latest research in mathematical modeling of infectious disease epidemiology * Integrates deterministic and stochastic approaches * Teaches skills in model construction, analysis, inference, and interpretation * Features numerous exercises and their detailed elaborations * Motivated by real-world applications throughout.
Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 135,13
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Añadir al carritoCondición: New. 2012. 1st Edition. Hardcover. Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. Series: Princeton Series in Theoretical and Computational Biology. Num Pages: 520 pages, 53 line illus. 1 table. BIC Classification: MBNS; PBWH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 259 x 178 x 33. Weight in Grams: 1206. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 122,30
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por Princeton University Press, US, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 141,31
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Añadir al carritoHardback. Condición: New. Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided.* Covers the latest research in mathematical modeling of infectious disease epidemiology * Integrates deterministic and stochastic approaches * Teaches skills in model construction, analysis, inference, and interpretation * Features numerous exercises and their detailed elaborations * Motivated by real-world applications throughout.
Idioma: Inglés
Publicado por Princeton University Press, US, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 210,83
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Añadir al carritoHardback. Condición: New. Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided.* Covers the latest research in mathematical modeling of infectious disease epidemiology * Integrates deterministic and stochastic approaches * Teaches skills in model construction, analysis, inference, and interpretation * Features numerous exercises and their detailed elaborations * Motivated by real-world applications throughout.
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 502 pages. 10.50x7.25x1.25 inches. In Stock.
Idioma: Inglés
Publicado por Princeton University Press, US, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: Rarewaves.com UK, London, Reino Unido
EUR 198,45
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Añadir al carritoHardback. Condición: New. Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided.* Covers the latest research in mathematical modeling of infectious disease epidemiology * Integrates deterministic and stochastic approaches * Teaches skills in model construction, analysis, inference, and interpretation * Features numerous exercises and their detailed elaborations * Motivated by real-world applications throughout.
Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: moluna, Greven, Alemania
EUR 106,23
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how .
Librería: Revaluation Books, Exeter, Reino Unido
EUR 141,91
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 502 pages. 10.50x7.25x1.25 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: preigu, Osnabrück, Alemania
EUR 110,20
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Añadir al carritoBuch. Condición: Neu. Mathematical Tools for Understanding Infectious Disease Dynamics | Odo Diekmann (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2012 | Princeton University Press | EAN 9780691155395 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Princeton University Press, 2012
ISBN 10: 0691155399 ISBN 13: 9780691155395
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 133,55
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods.Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided.Covers the latest research in mathematical modeling of infectious disease epidemiologyIntegrates deterministic and stochastic approachesTeaches skills in model construction, analysis, inference, and interpretationFeatures numerous exercises and their detailed elaborationsMotivated by real-world applications throughout.