Practical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)

<!--HTML-->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 approa...

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Autor principal: Prosper, Harrison
Lenguaje:eng
Publicado: 2015
Materias:
Academic Training Lecture Regular Programme
Acceso en línea:http://cds.cern.ch/record/2007254
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author Prosper, Harrison
author_facet Prosper, Harrison
author_sort Prosper, Harrison
collection CERN
description <!--HTML-->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.
id cern-2007254
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
record_format invenio
spelling cern-20072542022-11-03T08:15:41Zhttp://cds.cern.ch/record/2007254engProsper, HarrisonPractical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)Practical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)Academic Training Lecture Regular Programme<!--HTML-->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. oai:cds.cern.ch:20072542015
spellingShingle Academic Training Lecture Regular Programme
Prosper, Harrison
Practical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)
title Practical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)
title_full Practical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)
title_fullStr Practical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)
title_full_unstemmed Practical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)
title_short Practical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)
title_sort practical statistics for lhc physicists: descriptive statistics, probability and likelihood (1/3)
topic Academic Training Lecture Regular Programme
url http://cds.cern.ch/record/2007254
work_keys_str_mv AT prosperharrison practicalstatisticsforlhcphysicistsdescriptivestatisticsprobabilityandlikelihood13

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