Stochastic Processes

Stochastic ProcessesWell written and accessible, this classic introduction to stochastic processes and related mathematics is appropriate for advanced undergraduate students of mathematics with a knowledge of calculus and continuous probability theory. The treatment offers examples of the wide variety of empirical phenomena for which stochastic processes provide mathematical models, and it develops the methods of probability model building. Chapter 1 presents precise

motion equation for four archetypical systems derived and used repeatedly throughout the text

see the Introduction for details

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and superfluid helium as well as applications to finite systems

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