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Cambridge University Press Data Analysis Techniques for Physical Scientists

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£78 today · all-time low £77 (Jul 2026) · usually £84

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Description

This is a comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced students and 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 given to 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. This title is also available as open access on Cambridge Core.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 October 2017
Listed Since
01 April 2017

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