Description: This book describes how to set up and analyze models of real-life phenomena that involve elements of chance. Includes many worked examples and exercises.
Review Quotes:
From the reviews of the second edition:
"It should be on the desk of any university teacher and anybody studying probability and stochastic processes. ... there are exercises given in the end of each chapter. Solutions or good hints are summarised and located at the end of the book. All these make the book more than useful to a wide spectrum of readers. For anybody needing a good introduction to modern probability and stochastic processes, this is the book to start with." (Jordan M. Stoyanov, zbMATH, Vol. 1286, 2014)
"This is an introductory book on probabilistic modeling that I can recommend to any student or teacher. It is not only for probability courses, but also for general mathematics, since the proofs, definitions, and examples are so beautifully intermingled and interspersed." (Arturo Ortiz-Tapia, Computing Reviews, November, 2013)