Maurizio Taiuti

Introduction to Probability Models, 12e

Description: Introduction to Probability Models, Twelfth Edition, is the latest version of Sheldon Ross's classic bestseller. This trusted book introduces the reader to elementary probability modelling and stochastic processes and shows how probability theory can be applied in fields such as engineering, computer science, management science, the physical and social sciences and operations research. The hallmark features of this text have been retained in this edition, including a superior writing style and excellent exercises and examples covering the wide breadth of coverage of probability topics. In addition, many real-world applications in engineering, science, business and economics are included. Winner of a 2020 Textbook Excellence Award (College) (Texty) from the Textbook and Academic Authors Association Retains the valuable organization and trusted coverage that students and professors have relied on since 1972 Includes new coverage on coupling methods, renewal theory, queueing theory, and a new derivation of Poisson process Offers updated examples and exercises throughout, along with required material for Exam 3 of the Society of Actuaries

Price: 29.99 USD

Location: Brattleboro, Vermont

End Time: 2024-09-12T01:08:36.000Z

Shipping Cost: 3.99 USD

Product Images

Introduction to Probability Models, 12eIntroduction to Probability Models, 12e

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

MPN: 54587654

Brand: Academic Press

Number of Pages: Xv, 826 Pages

Publication Name: Introduction to Probability Models

Language: English

Publisher: Elsevier Science & Technology

Publication Year: 2019

Subject: Probability & Statistics / Stochastic Processes, Probability & Statistics / General

Type: Textbook

Subject Area: Mathematics

Item Length: 9 in

Author: Sheldon M. Ross

Item Width: 6 in

Format: Hardcover

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