Hide this

Results from Google Books

Click on a thumbnail to go to Google Books.

Introduction to Probability Models by Sheldon M. Ross
Loading...

Introduction to probability models

by Sheldon M. Ross

MembersReviewsPopularityAverage ratingConversations
68None91,887 (3.4)None
Info:

London : Harcourt/Academic, c2000.

Member:
Collections:Rating:
Tags:None
Loading...
won't like will probably not like will probably like will like will love

Sign up for LibraryThing to find out whether you'll like this book.

No reviews
no reviews | add a review
You must log in to edit Common Knowledge data.
For more help see the Common Knowledge help page.
Series (with order)
Canonical Title
Original publication date
People/Characters
Important places
Important events
Related movies
Awards and honors
Epigraph
Dedication
First words
Quotations
Last words
Disambiguation notice
Publisher's editors
Blurbers

References to this work on external resources.

Wikipedia in English

None

Book description

Amazon.com Product Description (ISBN 0125980558, Hardcover)

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:0-12-598053-1
Probability Models for Computer Science, ISBN 0-12-598051-5
Introduction 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 the
Society of Actuaries

(retrieved from Amazon Fri, 24 Apr 2009 07:58:24 -0400)

(see all 2 descriptions)

The first test round has been closed. Visit the Open Shelves Classification group for details.

Quick Links

Ebooks Audio Swap
2 pay0/4

Popular covers

 

Help/FAQs | About | Privacy/Terms | Blog | Contact | LibraryThing.com | APIs | WikiThing | Common Knowledge | 47,159,285 books!