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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    UID:
    gbv_181856842X
    Format: 1 Online-Ressource(XI, 209 p. 57 illus.)
    Edition: 1st ed. 2022.
    ISBN: 9783031121005
    Series Statement: Springer eBook Collection
    Content: Introduction -- Discrete random Walks -- The Correlated Random Walk -- The Diffusion Limit -- The Wiener process -- More general Diffusion Processes -- Differential Equations for Probabilities -- Applications.
    Content: This book offers an accessible introduction to random walk and diffusion models at a level consistent with the typical background of students in the life sciences. In recent decades these models have become widely used in areas far beyond their traditional origins in physics, for example, in studies of animal behavior, ecology, sociology, sports science, population genetics, public health applications, and human decision making. Developing the main formal concepts, the book provides detailed and intuitive step-by-step explanations, and moves smoothly from simple to more complex models. Finally, in the last chapter, some successful and original applications of random walk and diffusion models in the life and behavioral sciences are illustrated in detail. The treatment of basic techniques and models is consolidated and extended throughout by a set of carefully chosen exercises.
    Additional Edition: ISBN 9783031120992
    Additional Edition: ISBN 9783031121012
    Additional Edition: ISBN 9783031121029
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031120992
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031121012
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031121029
    Additional Edition: Erscheint auch als Druck-Ausgabe Schwarz, Wolfgang Random walk and diffusion models Cham, Switzerland : Springer Nature, 2022 ISBN 9783031120992
    Additional Edition: ISBN 9783031121012
    Additional Edition: ISBN 9783031121029
    Language: English
    URL: Cover
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