Applied Probability and Stochastic Processes

R.M. Feldman, C. Valdez-Flores
Applied Probability and Stochastic Processes
▶ Gives the reader an intuitive understanding of probabilistic
reasoning as well as an understanding of mathematical concepts
▶ Presents stochastic processes in an elementary but mathematically
precise manner
▶ Includes numerous examples and exercises
▶ Features a new chapter on Poisson Processes and an introductory
chapter on statistics that includes a section on risk assessment
▶ Expands chapter on queues into two chapters: one for simple
queuing processes and one for queuing networks
2nd ed. 2010, XV, 397 p.
Printed book
Hardcover
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This book presents applied probability and stochastic processes in an elementary but
mathematically precise manner, with numerous examples and exercises to illustrate the
range of engineering and science applications of the concepts. The book is designed to
give the reader an intuitive understanding of probabilistic reasoning, in addition to an
understanding of mathematical concepts and principles. The initial chapters present a
summary of probability and statistics and then Poisson processes, Markov chains, Markov
processes and queuing processes are introduced. Advanced topics include simulation,
inventory theory, replacement theory, Markov decision theory, and the use of matrix
geometric procedures in the analysis of queues.
Included in the second edition are appendices at the end of several chapters giving
suggestions for the use of Excel in solving the problems of the chapter. Also new in this
edition are an introductory chapter on statistics and a chapter on Poisson processes that
includes some techniques used in risk assessment. The old chapter on queues has been
expanded and broken into two new chapters: one for simple queuing processes and one
for queuing networks. Support is provided through the web site http://apsp.tamu.edu
where students will have the answers to odd numbered problems and instructors will
have access to full solutions and Excel files for homework.
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