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Narsky, Ilya

Statistical Analysis Techniques in Particle Physics: Fits, Density Estimation and Supervised Learning

Narsky, Ilya - Statistical Analysis Techniques in Particle Physics: Fits, Density Estimation and Supervised Learning, ebook

111,60€

Ebook, ePUB with Adobe DRM
ISBN: 9783527677290
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Printing120 pages with an additional page accrued every 7 hours, capped at 120 pages
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Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.

Keywords: Nuclear & High Energy Physics, Statistical analysis techniques, particle physics, high-energy physicists, Root, Matlab, StatPatterRecognition, non-parametric density estimation, likelihood fits, neural networks, support vector machines, decision tress, ensembles of classifiers, error estimates

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2014
Language
en
Edition
1
Page amount
400 pages
Category
Natural Sciences
Format
Ebook
eISBN (ePUB)
9783527677290
Printed ISBN
9783527410866

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