Data Analysis Techniques for Physical Scientists

Nonfiction, Science & Nature, Science, Physics, Astronomy, Reference & Language, Reference
Cover of the book Data Analysis Techniques for Physical Scientists by Claude A. Pruneau, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Claude A. Pruneau ISBN: 9781108266062
Publisher: Cambridge University Press Publication: October 5, 2017
Imprint: Cambridge University Press Language: English
Author: Claude A. Pruneau
ISBN: 9781108266062
Publisher: Cambridge University Press
Publication: October 5, 2017
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Rereading East Germany by Claude A. Pruneau
Cover of the book Democracy Protests by Claude A. Pruneau
Cover of the book An Introduction to Islamic Law by Claude A. Pruneau
Cover of the book The Cambridge History of the Romance Languages: Volume 1, Structures by Claude A. Pruneau
Cover of the book An Introduction to International Economics by Claude A. Pruneau
Cover of the book The Aesthetics of Grammar by Claude A. Pruneau
Cover of the book Humanizing the Laws of War by Claude A. Pruneau
Cover of the book Ultrasound in Reproductive Healthcare Practice by Claude A. Pruneau
Cover of the book The Republic in Crisis, 1848–1861 by Claude A. Pruneau
Cover of the book Global Business Regulation by Claude A. Pruneau
Cover of the book Immunohistochemistry in Diagnostic Dermatopathology by Claude A. Pruneau
Cover of the book The Willing World by Claude A. Pruneau
Cover of the book The Common Law Inside the Female Body by Claude A. Pruneau
Cover of the book Criminal Disenfranchisement in an International Perspective by Claude A. Pruneau
Cover of the book Building Transnational Networks by Claude A. Pruneau
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy