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Statistical Analysis Techniques in Particle Physics: Fits, Density Estimation and Supervised Learning
Ilya Narsky
€ 116.72
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Description for Statistical Analysis Techniques in Particle Physics: Fits, Density Estimation and Supervised Learning
Paperback. 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. Num Pages: 459 pages, illustrations. BIC Classification: PBT; PHP; PHU. Category: (P) Professional & Vocational. Dimension: 239 x 172 x 23. Weight in Grams: 978.
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.
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.
Product Details
Publisher
Wiley-VCH Verlag GmbH
Format
Paperback
Publication date
2013
Condition
New
Weight
978g
Number of Pages
459
Place of Publication
Weinheim, Germany
ISBN
9783527410866
SKU
V9783527410866
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Ilya Narsky
The authors are experts in the use of statistics in particle physics data analysis. Frank C. Porter is Professor at Physics at the California Institute of Technology and has lectured extensively at CalTech, the SLAC Laboratory at Stanford, and elsewhere. Ilya Narsky is Senior Matlab Developer at The MathWorks, a leading developer of technical computing software for engineers and scientists, ... Read more
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