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Author | : Sheldon M. Ross |
Publisher | : Elsevier |
Total Pages | : 801 |
Release | : 2007 |
Genre | : Probabilities |
ISBN | : 0123736358 |
Download Introduction to Probability Models Book in PDF, ePub and Kindle
Rosss classic bestseller has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries.
Author | : Sheldon M. Ross |
Publisher | : Academic Press |
Total Pages | : 59 |
Release | : 2010-01-01 |
Genre | : Mathematics |
ISBN | : 0123814367 |
Download Introduction to Probability Models, Student Solutions Manual (e-only) Book in PDF, ePub and Kindle
Introduction to Probability Models, Student Solutions Manual (e-only)
Author | : Sheldon M. Ross |
Publisher | : Academic Press |
Total Pages | : 801 |
Release | : 2006-11-17 |
Genre | : Mathematics |
ISBN | : 0080920179 |
Download Introduction to Probability Models, ISE Book in PDF, ePub and Kindle
Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and 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. A new section (3.7) 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 (4.11) 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. Simplified Approach for Analyzing Nonhomogeneous Poisson processes Additional results on queues relating to the (a) conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system; (b) inspection paradox for M/M/1 queues (c) M/G/1 queue with server breakdown Many new examples and exercises.
Author | : Sheldon M. Ross |
Publisher | : |
Total Pages | : 321 |
Release | : 2003 |
Genre | : Probabilities |
ISBN | : 9780125980562 |
Download Introduction to Probability Models, Eighth Edition Book in PDF, ePub and Kindle
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, evenin 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
Author | : Sheldon M. Ross |
Publisher | : Taylor & Francis US |
Total Pages | : 304 |
Release | : 2002 |
Genre | : Computers |
ISBN | : 9780125980517 |
Download Probability Models for Computer Science Book in PDF, ePub and Kindle
The role of probability in computer science has been growing for years and, in lieu of a tailored textbook, many courses have employed a variety of similar, but not entirely applicable, alternatives. To meet the needs of the computer science graduate student (and the advanced undergraduate), best-selling author Sheldon Ross has developed the premier probability text for aspiring computer scientists involved in computer simulation and modeling. The math is precise and easily understood. As with his other texts, Sheldon Ross presents very clear explanations of concepts and covers those probability models that are most in demand by, and applicable to, computer science and related majors and practitioners. Many interesting examples and exercises have been chosen to illuminate the techniques presented Examples relating to bin packing, sorting algorithms, the find algorithm, random graphs, self-organising list problems, the maximum weighted independent set problem, hashing, probabilistic verification, max SAT problem, queuing networks, distributed workload models, and many othersMany interesting examples and exercises have been chosen to illuminate the techniques presented
Author | : Sheldon M. Ross |
Publisher | : |
Total Pages | : 143 |
Release | : 1985 |
Genre | : |
ISBN | : |
Download Introduction to Probability Models Solutions Book in PDF, ePub and Kindle
Author | : Sheldon M. Ross |
Publisher | : |
Total Pages | : 199 |
Release | : 1989 |
Genre | : Probabilities |
ISBN | : 9780125984652 |
Download Solutions Manual for Introduction to Probability Models Book in PDF, ePub and Kindle
The Sixth Edition of this very successful textbook, Introduction to Probability Models, introduces elementary probability theory & stochastic processes. This book is particularly well-suited for those who want to see how probability theory can be applied to the study of phenomena in fields such as engineering, management science, the physical & social sciences, & operations research.
Author | : Narayanaswamy Balakrishnan |
Publisher | : John Wiley & Sons |
Total Pages | : 548 |
Release | : 2021-11-24 |
Genre | : Mathematics |
ISBN | : 1118548558 |
Download Introduction to Probability Book in PDF, ePub and Kindle
INTRODUCTION TO PROBABILITY Discover practical models and real-world applications of multivariate models useful in engineering, business, and related disciplines In Introduction to Probability: Multivariate Models and Applications, a team of distinguished researchers delivers a comprehensive exploration of the concepts, methods, and results in multivariate distributions and models. Intended for use in a second course in probability, the material is largely self-contained, with some knowledge of basic probability theory and univariate distributions as the only prerequisite. This textbook is intended as the sequel to Introduction to Probability: Models and Applications. Each chapter begins with a brief historical account of some of the pioneers in probability who made significant contributions to the field. It goes on to describe and explain a critical concept or method in multivariate models and closes with two collections of exercises designed to test basic and advanced understanding of the theory. A wide range of topics are covered, including joint distributions for two or more random variables, independence of two or more variables, transformations of variables, covariance and correlation, a presentation of the most important multivariate distributions, generating functions and limit theorems. This important text: Includes classroom-tested problems and solutions to probability exercises Highlights real-world exercises designed to make clear the concepts presented Uses Mathematica software to illustrate the text’s computer exercises Features applications representing worldwide situations and processes Offers two types of self-assessment exercises at the end of each chapter, so that students may review the material in that chapter and monitor their progress Perfect for students majoring in statistics, engineering, business, psychology, operations research and mathematics taking a second course in probability, Introduction to Probability: Multivariate Models and Applications is also an indispensable resource for anyone who is required to use multivariate distributions to model the uncertainty associated with random phenomena.
Author | : Sheldon M. Ross |
Publisher | : Academic Press |
Total Pages | : 664 |
Release | : 2009 |
Genre | : Mathematics |
ISBN | : 9780123704832 |
Download Introduction to Probability and Statistics for Engineers and Scientists Book in PDF, ePub and Kindle
This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations.
Author | : Sheldon M. Ross |
Publisher | : |
Total Pages | : 143 |
Release | : 1985-01-01 |
Genre | : Probabilities |
ISBN | : 9780125984690 |
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