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  3. Modelling Biological Populations in Space and Time
  • Cited by 346
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    • Publisher:
      Cambridge University Press
      Publication date:
      August 2012
      July 1991
      ISBN:
      9780511624094
      9780521448550
      DOI:
      https://doi.org/10.1017/CBO9780511624094
      Dimensions:
      Weight & Pages:
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.597kg, 424 Pages
      • Subjects:
      Physics and Astronomy, Geometry and Topology, Applied Probability and Stochastic Networks, Statistics and Probability, Statistical Physics
      Series:
      Cambridge Studies in Mathematical Biology (11)
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    • Selected: Digital
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    Subjects:
    Physics and Astronomy, Geometry and Topology, Applied Probability and Stochastic Networks, Statistics and Probability, Statistical Physics
    Series:
    Cambridge Studies in Mathematical Biology (11)
    Information

    Book description

    This volume develops a unifying approach to population studies, emphasising the interplay between modelling and experimentation. Throughout, mathematicians and biologists are provided with a framework within which population dynamics can be fully explored and understood. Aspects of population dynamics covered include birth-death and logistic processes, competition and predator-prey relationships, chaos, reaction time-delays, fluctuating environments, spatial systems, velocities of spread, epidemics, and spatial branching structures. Both deterministic and stochastic models are considered. Whilst the more theoretically orientated sections will appeal to mathematical biologists, the material is presented so that readers with little mathematical expertise can bypass these without losing the main flow of the text.

    Reviews

    "...an excellent introduction to the world of deterministic and stochastic models for population growth, both for students of applied mathematics and statistics at the undergraduate and postgraduate level and for advanced students of theoretical biology." Andris Abakuks, Mathematical Reviews

    "An excellent reference for the class of mathematical models that it considers....The quality of the book is high....As an applied statistician with an interest--and some background--in the models discussed, I found the book easy to read, extremely useful, and its perspective sensible. It is well worth its price." Judy Zeh, Journal of the American Statistical Association

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