Statistical Analysis Techniques in Particle Physics

Statistical Analysis Techniques in Particle Physics
Author: Ilya Narsky
Publisher: John Wiley & Sons
Total Pages: 404
Release: 2013-10-24
Genre: Science
ISBN: 3527677291


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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.


Statistical Analysis Techniques in Particle Physics
Language: en
Pages: 404
Authors: Ilya Narsky
Categories: Science
Type: BOOK - Published: 2013-10-24 - Publisher: John Wiley & Sons

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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 techni
Statistical Methods for Data Analysis in Particle Physics
Language: en
Pages: 268
Authors: Luca Lista
Categories: Science
Type: BOOK - Published: 2017-10-13 - Publisher: Springer

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This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in part
Probability and Statistics for Particle Physics
Language: en
Pages: 252
Authors: Carlos MaƱa
Categories: Science
Type: BOOK - Published: 2017-04-21 - Publisher: Springer

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This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current proble
Statistical Data Analysis
Language: en
Pages: 218
Authors: Glen Cowan
Categories: Mathematics
Type: BOOK - Published: 1998 - Publisher: Oxford University Press

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This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at
Statistics for Nuclear and Particle Physicists
Language: en
Pages: 244
Authors: Louis Lyons
Categories: Science
Type: BOOK - Published: 1989-04-06 - Publisher: Cambridge University Press

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This book, written by a non-statistician for non-statisticians, emphasises the practical approach to those problems in statistics which arise regularly in data