Data Analysis Techniques for Physical Scientists
  • Release Date : 07 December 2021
  • Publisher : Unknown
  • Genre : Mathematical statistics
  • Pages : 704 pages
  • ISBN 13 : 1108266061
Ratings: 4
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Download or read book entitled Data Analysis Techniques for Physical Scientists by author: Claude A. Pruneau which was release on 07 December 2021 and published by Unknown with total page 704 pages . This book available in PDF, EPUB and Kindle Format. A comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced undergraduate and graduate students, as well as seasoned researchers. The book begins with an extensive discussion of the foundational concepts and methods of probability and statistics under both the frequentist and Bayesian interpretations of probability. It next presents basic concepts and techniques used for measurements of particle production cross-sections, correlation functions, and particle identification. Much attention is devoted to notions of statistical and systematic errors, beginning with intuitive discussions and progressively introducing the more formal concepts of confidence intervals, credible range, and hypothesis testing. The book also includes an in-depth discussion of the methods used to unfold or correct data for instrumental effects associated with measurement and process noise as well as particle and event losses, before ending with a presentation of elementary Monte Carlo techniques.

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