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Statistical analysis techniques in particle physics : fits, density estimation and supervised learning / Ilya Narsky and Frank C. Porter
Material type:
TextPublication details: Weinheim, Germany : Wiley-VCH Verlag GmbH & Co. KGaA, 2014Description: xvii, 441 p. ill. ; 24 cmISBN: - 9783527410866
- QC 174.8 N37S 2014
Contents:
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
Goodness of fit
Data preprocessing
Decision trees
| Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
General Book
|
SPU Library, Bangkok (Main Campus) | General Books (ENGLISH) | Floor 5: General Shelves (ENGLISH): 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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