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Software for Data Analysis: Programming with R

Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware tha...

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Detalles Bibliográficos
Autor principal: Chambers, John
Lenguaje:eng
Publicado: Springer 2008
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-0-387-75936-4
http://cds.cern.ch/record/1315257
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author Chambers, John
author_facet Chambers, John
author_sort Chambers, John
collection CERN
description Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated t
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2008
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spelling cern-13152572021-04-22T01:14:03Zdoi:10.1007/978-0-387-75936-4http://cds.cern.ch/record/1315257engChambers, JohnSoftware for Data Analysis: Programming with RMathematical Physics and MathematicsAlthough statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated tSpringeroai:cds.cern.ch:13152572008
spellingShingle Mathematical Physics and Mathematics
Chambers, John
Software for Data Analysis: Programming with R
title Software for Data Analysis: Programming with R
title_full Software for Data Analysis: Programming with R
title_fullStr Software for Data Analysis: Programming with R
title_full_unstemmed Software for Data Analysis: Programming with R
title_short Software for Data Analysis: Programming with R
title_sort software for data analysis: programming with r
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-0-387-75936-4
http://cds.cern.ch/record/1315257
work_keys_str_mv AT chambersjohn softwarefordataanalysisprogrammingwithr