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Optimal experimental design with R

Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sam...

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Detalles Bibliográficos
Autores principales: Rasch, Dieter, Pilz, Jurgen, Verdooren, L R, Gebhardt, Albrecht
Lenguaje:eng
Publicado: Chapman and Hall/CRC 2011
Materias:
Acceso en línea:http://cds.cern.ch/record/2312622
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author Rasch, Dieter
Pilz, Jurgen
Verdooren, L R
Gebhardt, Albrecht
author_facet Rasch, Dieter
Pilz, Jurgen
Verdooren, L R
Gebhardt, Albrecht
author_sort Rasch, Dieter
collection CERN
description Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question. Providing a concise introduction to experimental design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R program package: OPDOE Consisting of detailed, data-rich examples, this book introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians.
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spelling cern-23126222021-04-21T18:51:47Zhttp://cds.cern.ch/record/2312622engRasch, DieterPilz, JurgenVerdooren, L RGebhardt, AlbrechtOptimal experimental design with RMathematical Physics and MathematicsExperimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question. Providing a concise introduction to experimental design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R program package: OPDOE Consisting of detailed, data-rich examples, this book introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians.Chapman and Hall/CRCoai:cds.cern.ch:23126222011
spellingShingle Mathematical Physics and Mathematics
Rasch, Dieter
Pilz, Jurgen
Verdooren, L R
Gebhardt, Albrecht
Optimal experimental design with R
title Optimal experimental design with R
title_full Optimal experimental design with R
title_fullStr Optimal experimental design with R
title_full_unstemmed Optimal experimental design with R
title_short Optimal experimental design with R
title_sort optimal experimental design with r
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2312622
work_keys_str_mv AT raschdieter optimalexperimentaldesignwithr
AT pilzjurgen optimalexperimentaldesignwithr
AT verdoorenlr optimalexperimentaldesignwithr
AT gebhardtalbrecht optimalexperimentaldesignwithr