9780691155395 - mathematical tools for understanding infectious disease dynamics: 7 (princeton series in theoretical and computational biology) de heesterbeek, hans; diekmann, odo; britton, tom (20 resultados)
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Editorial: Princeton University Press 2012
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Editorial: Princeton University Press 2012
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Condición: 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 inter…pretation 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
Editorial: Princeton University Press 2012
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Hardback. 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 subj…ect 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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Editorial: Princeton University Press 2012
Serie: Princeton Series in Theoretical and Computational Biology, Libro 4 de 7. Libro 4 de 7 - Princeton Series in Theoretical and Computational Biology
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Condición: 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 inter…pretation 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.
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Editorial: Princeton University Press 2012
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Mathematical Tools for Understanding Infectious Disease Dynamics
Odo Diekmann|Hans Heesterbeek|Tom Britton|Hans Heesterbeek|Tom Britton
Idioma: Inglés
Editorial: Princeton University Press 2012
Serie: Princeton Series in Theoretical and Computational Biology, Libro 4 de 7. Libro 4 de 7 - Princeton Series in Theoretical and Computational Biology
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Condición: New. 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 .
Idioma: Inglés
Editorial: Princeton University Press, US 2012
Serie: Princeton Series in Theoretical and Computational Biology, Libro 4 de 7. Libro 4 de 7 - Princeton Series in Theoretical and Computational Biology
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Hardback. 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 subj…ect 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
Editorial: Princeton University Press, US 2012
Serie: Princeton Series in Theoretical and Computational Biology, Libro 4 de 7. Libro 4 de 7 - Princeton Series in Theoretical and Computational Biology
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Hardback. 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 subj…ect 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
Editorial: Princeton Univ Pr 2012
Serie: Princeton Series in Theoretical and Computational Biology, Libro 4 de 7. Libro 4 de 7 - Princeton Series in Theoretical and Computational Biology
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Hardcover. Condición: Brand New. 1st edition. 502 pages. 10.50x7.25x1.25 inches. In Stock.
Idioma: Inglés
Editorial: Princeton University Press, US 2012
Serie: Princeton Series in Theoretical and Computational Biology, Libro 4 de 7. Libro 4 de 7 - Princeton Series in Theoretical and Computational Biology
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Hardback. 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 subj…ect 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
Editorial: Princeton University Press 2012
Serie: Princeton Series in Theoretical and Computational Biology, Libro 4 de 7. Libro 4 de 7 - Princeton Series in Theoretical and Computational Biology
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Buch. 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
Editorial: Princeton University Press 2012
Serie: Princeton Series in Theoretical and Computational Biology, Libro 4 de 7. Libro 4 de 7 - Princeton Series in Theoretical and Computational Biology
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Buch. 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.
