Introduction to Probability Models, Eighth Edition
Introduction to Probability Models, Eighth Edition — back cover
Introduction to Probability Models, Eighth Edition
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    Introduction to Probability Models, Eighth Edition

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    Book Details

    Format
    Hardcover
    Language
    English
    Category
    Mathematics
    Condition
    New
    ISBN-13
    9780125980555
    ISBN-10
    0125980558

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    Product description

    ISBN: 0125980558

    Author: Ross, Sheldon M.

    Condition: New

    Introduction to Probability Models, 8th Edition, continues to introduce and inspire readers to the art of applying probability theory to phenomena in fields such as engineering, computer science, management and actuarial science, the physical and social sciences, and operations research. Now revised and updated, this best-selling book retains its hallmark intuitive, lively writing style, captivating introduction to applications from diverse disciplines, and plentiful exercises and worked-out examples.The 8th Edition includes five new sections and numerous new examples and exercises, many of which focus on strategies applicable in risk industries such as insurance or actuarial work.The five new sections include:* Section 3.6.4 presents an elementary approach, using only conditional expectation, for computing the expected time until a sequence of independent and identically distributed random variables produce a specified pattern.* Section 3.6.5 derives an identity involving compound Poisson random variables and then uses it to obtain an elegant recursive formula for the probabilities of compound Poisson random variables whose incremental increases are nonnegative and integer valued* Section 5.4.3 is concerned with a conditional Poisson process, a type of process that is widely applicable in the risk industries* Section 7.10 presents a derivation of and a new characterization for the classical insurance ruin probability.* Section 11.8 presents a simulation procedure known as coupling from the past; its use enables one to exactly generate the value of a random variable whose distribution is that of the stationary distribution of a given Markov chain, even in cases where the stationary distribution cannot itself be explicitly determined.Other Academic Press books by Sheldon Ross:Simulation 3rd Ed., ISBN:0-12-598053-1Probability Models for Computer Science, ISBN 0-12-598051-5Introduction to Probability and Statistics for Engineers and Scientists, 2nd Ed., ISBN: 0-12-598472-3* Classic text by best-selling author* Continues the tradition of expository excellence* Contains compulsory material for Exam 3 of theSociety of Actuaries

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    Introduction to Probability Models, Eighth Edition

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