Stochastic processes are necessary ingredients for building models
of a wide variety of phenomena exhibiting time varying randomness.
This text offers easy access to this fundamental topic for many
students of applied sciences at many levels. It includes examples,
exercises, applications, and computational procedures. It is
uniquely useful for beginners and non-beginners in the field. No
knowledge of measure theory is presumed.
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