Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Vaughan, Simon
Lenguaje:eng
Publicado: Cambridge University Press 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/2304714
_version_ 1780957483218501632
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