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Statistical analysis techniques in particle physics : fits, density estimation and supervised learning / Ilya Narsky and Frank C. Porter

By: Material type: TextTextPublication details: Weinheim, Germany : Wiley-VCH Verlag GmbH & Co. KGaA, 2014Description: xvii, 441 p. ill. ; 24 cmISBN:
  • 9783527410866
Subject(s): Genre/Form: LOC classification:
  • QC 174.8 N37S 2014
Contents:
Goodness of fit
Data preprocessing
Decision trees
Summary: 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
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Holdings
Item type Current library Collection Shelving location Call number Status Barcode
General Book General Book SPU Library, Bangkok (Main Campus) General Books (ENGLISH) Floor 4: General Shelves (ENGLISH): N, Q-T QC 174.8 N37S 2014 (Browse shelf(Opens below)) Available F066887
Total holds: 0

Includes index

Goodness of fit

Data preprocessing

Decision trees

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

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