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Title Practical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)
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Author(s) Prosper, Harrison (speaker) (Florida State University, USA)
Corporate author(s) CERN. Geneva
Imprint 2015-04-07. - Streaming video.
Series (Academic Training Lecture Regular Programme ; 2014-2015)
Lecture note on 2015-04-07T11:00:00
Subject category Academic Training Lecture Regular Programme
Abstract Abstract These lectures cover those principles and practices of statistics that are most relevant for work at the LHC. The first lecture discusses the basic ideas of descriptive statistics, probability and likelihood. The second lecture covers the key ideas in the frequentist approach, including confidence limits, profile likelihoods, p-values, and hypothesis testing. The third lecture covers inference in the Bayesian approach. Throughout, real-world examples will be used to illustrate the practical application of the ideas. No previous knowledge is assumed.
Copyright/License © 2015-2024 CERN
Submitted by maureen.prola-tessaur@cern.ch

 


 Record created 2015-04-07, last modified 2022-11-03


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