"A clarity of style and a conciseness of treatment which students will find most welcome. 1970 edition..
It is especially suited for a one-year course in Applied Probability at the advanced undergraduate or beginning postgraduate level.
Students will find this a largely self-contained text that requires little previous knowledge of the subject.
There is also a short list of relevant references at the end of every chapter.
Each chapter is followed by a section of useful problems that illustrate and complement the text.
Subsequent chapters deal with such topics as renewal theory and Markov chains; semi-Markov, Markov renewal, and regenerative processes; inventory theory; and Brownian motion and continuous time Optimization models.
After reviewing some basic notions of Probability theory and stochastic processes, the author presents a useful treatment of the Poisson process, including compound and nonhomogeneous Poisson processes.
Emphasis is on Optimization Models and methods, particularly in the area of decision processes.
This book offers a concise introduction to some of the stochastic processes that frequently arise in Applied probability. an excellent introduction to Applied probability." -- Journal of the American Statistical Association.
The material is valuable and well organized ... "A clarity of style and a conciseness of treatment which students will find most welcome
