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Scientific inference: learning from data
Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrat...
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Lenguaje: | eng |
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Cambridge University Press
2013
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Acceso en línea: | http://cds.cern.ch/record/2304714 |
_version_ | 1780957483218501632 |
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author | Vaughan, Simon |
author_facet | Vaughan, Simon |
author_sort | Vaughan, Simon |
collection | CERN |
description | Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. Further resources are available at www.cambridge.org/9781107607590, including data files for the case studies so students can practise analysing data, and exercises to test students' understanding. |
id | cern-2304714 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2013 |
publisher | Cambridge University Press |
record_format | invenio |
spelling | cern-23047142021-04-21T18:54:02Zhttp://cds.cern.ch/record/2304714engVaughan, SimonScientific inference: learning from dataMathematical Physics and MathematicsProviding the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. Further resources are available at www.cambridge.org/9781107607590, including data files for the case studies so students can practise analysing data, and exercises to test students' understanding.Cambridge University Pressoai:cds.cern.ch:23047142013 |
spellingShingle | Mathematical Physics and Mathematics Vaughan, Simon Scientific inference: learning from data |
title | Scientific inference: learning from data |
title_full | Scientific inference: learning from data |
title_fullStr | Scientific inference: learning from data |
title_full_unstemmed | Scientific inference: learning from data |
title_short | Scientific inference: learning from data |
title_sort | scientific inference: learning from data |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/2304714 |
work_keys_str_mv | AT vaughansimon scientificinferencelearningfromdata |