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Introduction to probability models / Sheldon M. Ross.

By: Ross, Sheldon M.
Material type: TextTextPublisher: Amsterdam ; Boston : Academic Press, c2010; India Elsevier 2010Edition: 10th ed.Description: xv, 784 p. : ill. ; 23 cm.ISBN: 9780123756862 (hardcover : alk. paper); 0123756863 (hardcover : alk. paper); 9789380501482.Subject(s): ProbabilitiesDDC classification: 519.2 Online resources: OCLC | E-book Fulltext
Contents:
Introduction to probability theory -- Random variables -- Conditional probability and conditional expectation -- Markov Chains -- The exponential distribution and the poisson process -- Continuous-time Markov Chains -- Renewal theory an its applications -- Queueing theory -- Reliability theory -- Brownian motion and stationary processes -- Simulation.
Summary: "Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professors as the primary text for a first undergraduate course in applied probability. It provides an Introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. The tenth edition contains several sections covered in the new exams."--BOOK JACKET
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Includes bibliographical references and index.

Introduction to probability theory --
Random variables --
Conditional probability and conditional expectation --
Markov Chains --
The exponential distribution and the poisson process --
Continuous-time Markov Chains --
Renewal theory an its applications --
Queueing theory --
Reliability theory --
Brownian motion and stationary processes --
Simulation.

"Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professors as the primary text for a first undergraduate course in applied probability. It provides an Introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. The tenth edition contains several sections covered in the new exams."--BOOK JACKET

Applied Statistics

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