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Introduction to Probability Models 9th Edition by Sheldon M Ross ISBN 0387232184 9780387232188

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Introduction to Probability Models 9th Edition Sheldon M. Ross Digital Instant Download

Author(s): Sheldon M. Ross
ISBN(s): 9780387232188, 0387232184
Edition: 9
File Details: PDF, 3.69 MB
Year: 2006
Language: english
SKU: EB-1271920 Category: Tag:

Introduction to Probability Models 9th Edition by Sheldon M. Ross – Ebook PDF Instant Download/Delivery: 0387232184, 9780387232188

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Product details:

ISBN 10: 0387232184 

ISBN 13: 9780387232188

Author: Sheldon M. Ross

Introduction to Probability Models, Ninth Edition, is the primary text for a first undergraduate course in applied probability. This updated edition of Ross’s classic bestseller 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.

This book now contains a new section on compound random variables that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions; a new section on hiddden Markov chains, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states; and a simplified approach for analyzing nonhomogeneous Poisson processes. There are also additional results on queues relating to the conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system; inspection paradox for M/M/1 queues; and M/G/1 queue with server breakdown. Furthermore, the book includes new examples and exercises, along with compulsory material for new Exam 3 of the Society of Actuaries.

This book is essential reading for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.

Table of contents:

  1. Introduction to Probability Theory

  2. Random Variables

  3. Conditional Probability and Conditional Expectation

  4. Markov Chains

  5. The Exponential Distribution and the Poisson Process

  6. Continuous-Time Markov Chains

  7. Renewal Theory and Its Applications

  8. Queueing Theory

  9. Reliability Theory

  10. Brownian Motion and Stationary Processes

  11. Simulation

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Tags: Sheldon M Ross, Introduction, Probability, Models