Computational probability : algorithms and applications in the mathematical sciences

"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 chapt...

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Bibliographic Details
Main Authors: Drew, John H., Evans, Diane L. 1954- (Author), Glen, Andrew G., (Author), Leemis, Lawrence M., (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, [2017]
Edition: Second edition.
Series: International series in operations research & management science ; v. 246.
Subjects:
Mathematics > Data processing.
Probabilities > Data processing.
elektronické knihy
electronic books
ISBN: 9783319433233
9783319433219
Physical Description: 1 online resource

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Table of contents

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100 1 |a Drew, John H. 
245 1 0 |a Computational probability :  |b algorithms and applications in the mathematical sciences /  |c John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis. 
250 |a Second edition. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2017] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a International series in operations research & management science ;  |v volume 246 
505 0 |a Computational probability -- Maple for APPL -- Data structures and simple algorithms -- Transformations of random variables -- Bivariate transformations of random variables -- Products of random variables -- Data structures and simple algorithms -- Sums of independent discrete random variables -- Order statistics for random sampling from discrete populations -- Reliability and survival analysis -- Symbolic ARMA model analysis -- Stochastic simulation -- Transient queuing analysis -- Bayesian applications -- Other applications. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "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 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"--Provided by publisher. 
504 |a Includes bibliographical references and index. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Mathematics  |x Data processing. 
650 0 |a Probabilities  |x Data processing. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Evans, Diane L.  |q (Diane Louise),  |d 1954-  |e author. 
700 1 |a Glen, Andrew G.,  |e author. 
700 1 |a Leemis, Lawrence M.,  |e author. 
776 0 8 |i Printed edition:  |z 9783319433219 
830 0 |a International series in operations research & management science ;  |v v. 246. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-43323-3  |y Plný text 
992 |c NTK-SpringerBM 
999 |c 97938  |d 97938 

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