Computational Probability Applications

Name: Computational Probability Applications
Brand: Springer International Publishing AG
SKU: 9783319433158
Price: 523.48 RON
Availability: InStock

Autor: Andrew G. Glen, Lawrence M. Leemis

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Legare: Copertă tare

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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523.48 lei

This focuses on the developing field of building probability models with the power of symbolic algeb...

Informații despre carte

Autor

Andrew G. Glen, Lawrence M. Leemis

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2016

Pagini

256

EAN

9783319433158

ISBN

3319433156

Enbook ID

13496574

Editura

Springer International Publishing AG

Greutate

5266

Dimensiuni

155 x 235 x 21

Descriere completă

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. § Applications in Computational Probability 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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