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Can I read Data Analysis Techniques for Physical Scientists on EtoBox?

Data Analysis Techniques for Physical Scientists by Pruneau, Claude A. is a science book available to read on EtoBox.

What is Data Analysis Techniques for Physical Scientists about?

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. Description from publisher

Who reads Data Analysis Techniques for Physical Scientists?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Pruneau, Claude A.
Publisher
Cambridge University Press (Virtual Publishing)
Published
2017
Language
EN
ISBN
9781108416788
Category
science
Subjects
Science, Stem
Rating
4.6 / 5 (6 ratings)
Updated
2026-03-14

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