Picture 1 of 6






Gallery
Picture 1 of 6






Have one to sell?
Wiley Series in Probability and Statistics Ser.: Modern Simulation and Modeling
US $40.00
ApproximatelyC $54.40
or Best Offer
Was US $50.00 (20% off)
Condition:
Like New
A book that looks new but has been read. Cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections.
Sale ends in: 6d 17h
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Shipping:
Free Standard Shipping.
Located in: Fredericksburg, Virginia, United States
Delivery:
Estimated between Thu, Jul 10 and Mon, Jul 14
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Payments:
Shop with confidence
Seller assumes all responsibility for this listing.
eBay item number:335440883460
Item specifics
- Condition
- ISBN
- 9780471170778
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471170771
ISBN-13
9780471170778
eBay Product ID (ePID)
1012009
Product Key Features
Number of Pages
384 Pages
Language
English
Publication Name
Modern Simulation and Modeling
Publication Year
1998
Subject
Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
23.6 Oz
Item Length
9.8 in
Item Width
6.4 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
97-011869
Dewey Edition
21
Series Volume Number
325
Illustrated
Yes
Dewey Decimal
003/.83
Table Of Content
CONVENTIONAL SIMULATION. Systems, Models, and Simulation. Random Numbers, Variates, and Stochastic Process Generation. Output Analysis of Discrete-Event Systems via Simulation. Variance Reduction Techniques. MODERN SIMULATION. Sensitivity Analysis and Optimization of Discrete-Event Static Systems (DESS). Sensitivity Analysis and Optimization of Discrete-Event Dynamic Systems: Distributed Parameters. Sensitivity of Analysis of Discrete-Event Dynamic Systems: Structural Parameters. Response Surface Methodology via the Score Function Method. Estimating Rare-Event Probabilities and Related Optimization Issues. Index.
Synopsis
A step-by-step guide for today's modeling and simulation practices This new guide for modeling and simulation of discrete-event systems (DES) demonstrates why simulation is fast becoming the method of choice for the evaluation of system performance in science, engineering, and management. The book begins with the basics of conventional simulation, then proceeds to modern simulation-treating sensitivity analysis and optimization in a wide range of systems that exhibit complex interaction of discrete events. These include communications networks, flexible manufacturing systems, PERT (project evaluation and review techniques) networks, queueing systems, and more. Less focused on theory than on presenting a clear approach to practical applications, Modern Simulation and Modeling: ∗ Emphasizes concepts rather than mathematical completeness ∗ Integrates references and explanations of complex topics into the body of the text ∗ Provides an innovative chapter on rare-event probability estimation ∗ Describes the implementation of the score function (SF) method using the NSO simulation package ∗ Features 40 illustrations and numerous algorithms ∗ Offers extensive, end-of-chapter exercise sets ∗ Includes chapter bibliographies for further reading Modern Simulation and Modeling is an essential text for graduate students of DES and stochastic processes and for undergraduate students in simulation. It is also an excellent reference for professionals in statistics and probability, mathematics, and management science., A step-by-step guide for today's modeling and simulation practices This new guide for modeling and simulation of discrete-event systems (DES) demonstrates why simulation is fast becoming the method of choice for the evaluation of system performance in science, engineering, and management. The book begins with the basics of conventional simulation, then proceeds to modern simulation-treating sensitivity analysis and optimization in a wide range of systems that exhibit complex interaction of discrete events. These include communications networks, flexible manufacturing systems, PERT (project evaluation and review techniques) networks, queueing systems, and more. Less focused on theory than on presenting a clear approach to practical applications, Modern Simulation and Modeling: * Emphasizes concepts rather than mathematical completeness * Integrates references and explanations of complex topics into the body of the text * Provides an innovative chapter on rare-event probability estimation * Describes the implementation of the score function (SF) method using the NSO simulation package * Features 40 illustrations and numerous algorithms * Offers extensive, end-of-chapter exercise sets * Includes chapter bibliographies for further reading Modern Simulation and Modeling is an essential text for graduate students of DES and stochastic processes and for undergraduate students in simulation. It is also an excellent reference for professionals in statistics and probability, mathematics, and management science., A step-by-step guide for today's modeling and simulation practices This new guide for modeling and simulation of discrete-event systems (DES) demonstrates why simulation is fast becoming the method of choice for the evaluation of system performance in science, engineering, and management., This text covers modelling and simulation of discrete-event systems (DES). Examples include computer communications networks, flexible manufacturing systems, PERT (project evaluation and review techniques) networks and flow networks including queuing systems. These systems are typically driven by the occurrence of discrete-events and their changes in time. In view of the complex interactions among such discrete events, the corresponding systems are often studied via stochastic simulation.
LC Classification Number
T57.62.R83 1998
Item description from the seller
Seller feedback (795)
- d***d (921)- Feedback left by buyer.Past 6 monthsVerified purchaseFast shipping, well packaged, accurate description, and a great price. Would definitely buy from again. Excellent seller. Outstanding communication, as seller reached out unsolicited to let me know item had shipped after noticing that USPS had yet to scan it and update tracking.
- g***s (150)- Feedback left by buyer.Past monthVerified purchaseQuick shipping, great packing, as described, it will be a great raffle prize at the next USS Buchanan reunion in NOLA March 2026. Thanks for saving old treasure.
- h***e (2071)- Feedback left by buyer.Past 6 monthsVerified purchaseReceived as advertised and in just 3 days! Well packed. Thank you!Fredericksburg Nationals SGA - FredNats Virginia Credit Union Stadium Replica (#335823334144)
More to explore:
- Statistics Textbooks,
- Statistics Paperback Textbooks,
- Statistics Textbook Textbooks,
- Statistics Ex-Library Textbooks,
- Statistics Hardcover Textbooks,
- Statistics Study Guides & Test Prep Ex-Library,
- Modernism Fiction Modern & Contemporary Fiction & Books,
- Models Magazines,
- Modern Man Magazines,
- Modern Bride Magazines