Computational Probability (International Series in Operations Research & Management Science)

leondumoulin.nl: Computational Probability Applications (International Series in Operations Research & Management Science) (): Andrew G. Glen.
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Computational probability applications (eBook, ) [leondumoulin.nl]

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Write a review Rate this item: Preview this item Preview this item. Computational probability applications Author: English View all editions and formats Summary: This focuses on the developing field of building probability models with the power of symbolic algebra systems. 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 fifteen chapters, each presenting a specific application of computational probability using the APPL modeling and computer language.

The chapter topics include using inverse gamma as a survival distribution, linear approximations of probability density functions, and also moment-ratio diagrams for univariate distributions. These works highlight interesting examples, often done by undergraduate students and graduate students that can serve as templates for future work. In addition, this book should appeal to researchers and practitioners in a range of fields including probability, statistics, engineering, finance, neuroscience, and economics.

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Computational probability applications

Find a copy in the library Finding libraries that hold this item Electronic books Additional Physical Format: Springer, c x, pages Material Type: Document, Internet resource Document Type: Publisher Synopsis "This volume successfully merges the use of symbolic algebra with stochastic applications and displays its applications in a host of situations.

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