ISBN: 9780470322550 - modeling random processes for engineers and managers (9 Ergebnisse)

Zustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains pen & pencil markings. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780470322550.…

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780470322550. …

Hardcover. Zustand: Brand New. illustrated edition. 304 pages. 10.00x8.25x0.75 inches. In Stock.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. xiii + 304 Illus.

Zustand: New. * By reducing mathematical detail and focusing on real-world applications, this book provides engineers with an easy-to-understand overview of stochastic modeling. * An entire chapter is included on how to set up the problem, and then another complete chap.

Zustand: New. In English.

Zustand: New. 2008. 1st Edition. Hardcover. * By reducing mathematical detail and focusing on real-world applications, this book provides engineers with an easy-to-understand overview of stochastic modeling. * An entire chapter is included on how to set up the problem, and then another complete chapter presents examples of applications before doing any math. Num Pages: 320 pages, Illustrations. BIC Classification: PBWL; TBJ. Category: (P) Professional & Vocational. Dimension: 259 x 211 x 16. Weight in Grams: 686. . . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - Modeling Random Processes for Engineers and Managers provides students with a 'gentle' introduction to stochastic processes, emphasizing full explanations and many examples rather than formal mathematical theorems and proofs. The text offers an accessible entry into a very useful and versatile set of tools for dealing with uncertainty and variation. Many practical examples of models, as well as complete explanations of the thought process required to create them, motivate the presentation of the computational methods. In addition, the text contains a previously unpublished computational approach to solving many of the equations that occur in Markov processes. Modeling Random Processes is intended to serve as an introduction, but more advanced students can use the case studies and problems to expand their understanding of practical uses of the theory.…