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. Ed(S): Glen, Andrew G.; Leemis, Lawrence M. - Computational Probability Applications - 9783319433158 - V9783319433158
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Computational Probability Applications

€ 122.61
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Description for Computational Probability Applications Hardback. Editor(s): Glen, Andrew G.; Leemis, Lawrence M. Series: International Series in Operations Research & Management Science. Num Pages: 256 pages, 68 black & white illustrations, 10 colour illustrations, biography. BIC Classification: PBT; UFM; UYA. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 567.
This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic application and highlights the applications in a variety of contexts. The research explored in each chapter is unified by the use of A Probability Programming Language (APPL) to achieve the modeling objectives. APPL, as a research tool, enables a probabilist or statistician the ability to explore new ideas, methods, and models. Furthermore, as an open-source language, it sets the foundation for future algorithms to augment the original code. 
Computational Probability Applications is comprised of ... Read more

Product Details

Format
Hardback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
256
Condition
New
Series
International Series in Operations Research & Management Science
Number of Pages
256
Place of Publication
Cham, Switzerland
ISBN
9783319433158
SKU
V9783319433158
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About . Ed(S): Glen, Andrew G.; Leemis, Lawrence M.
Dr. Andrew Glen is a Professor Emeritus of Operations Research from the United States Military Academy, in West Point, NY. He is currently a visiting professor at The Colorado College in Colorado Springs, Colorado. He is a retired colonel from the US Army, and spend 16 years on faculty at West Point. He has published three books and dozens of ... Read more

Reviews for Computational Probability Applications
“This volume successfully merges the use of symbolic algebra with stochastic applications and displays its applications in a host of situations. … The book organized sequentially, well structured, and chapters are self-contained. … The book is a good source as a reference book in a multitude fields. … this is a good contribution, providing up-to-date coverage on selected topics in ... Read more

Goodreads reviews for Computational Probability Applications


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