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Experimental design techniques in statistical practice: a practical software-based approach

Provides an introduction to the diverse subject area of experimental design, with many practical and applicable exercises to help the reader understand, present and analyse the data. The pragmatic approach offers technical training for use of designs and teaches statistical and non-statistical skill...

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Detalles Bibliográficos
Autores principales: Gardiner, W P, Gettinby, G
Lenguaje:eng
Publicado: Elsevier Science & Technology 1998
Materias:
Acceso en línea:http://cds.cern.ch/record/2317614
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author Gardiner, W P
Gettinby, G
author_facet Gardiner, W P
Gettinby, G
author_sort Gardiner, W P
collection CERN
description Provides an introduction to the diverse subject area of experimental design, with many practical and applicable exercises to help the reader understand, present and analyse the data. The pragmatic approach offers technical training for use of designs and teaches statistical and non-statistical skills in design and analysis of project studies throughout science and industry. Provides an introduction to the diverse subject area of experimental design and includes practical and applicable exercises to help understand, present and analyse the data Offers technical training for use of designs and teaches statistical and non-statistical skills in design and analysis of project studies throughout science and industry Discusses one-factor designs and blocking designs, factorial experimental designs, Taguchi methods and response surface methods, among other topics.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1998
publisher Elsevier Science & Technology
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spelling cern-23176142021-04-21T18:50:05Zhttp://cds.cern.ch/record/2317614engGardiner, W PGettinby, GExperimental design techniques in statistical practice: a practical software-based approachMathematical Physics and MathematicsProvides an introduction to the diverse subject area of experimental design, with many practical and applicable exercises to help the reader understand, present and analyse the data. The pragmatic approach offers technical training for use of designs and teaches statistical and non-statistical skills in design and analysis of project studies throughout science and industry. Provides an introduction to the diverse subject area of experimental design and includes practical and applicable exercises to help understand, present and analyse the data Offers technical training for use of designs and teaches statistical and non-statistical skills in design and analysis of project studies throughout science and industry Discusses one-factor designs and blocking designs, factorial experimental designs, Taguchi methods and response surface methods, among other topics.Elsevier Science & Technologyoai:cds.cern.ch:23176141998
spellingShingle Mathematical Physics and Mathematics
Gardiner, W P
Gettinby, G
Experimental design techniques in statistical practice: a practical software-based approach
title Experimental design techniques in statistical practice: a practical software-based approach
title_full Experimental design techniques in statistical practice: a practical software-based approach
title_fullStr Experimental design techniques in statistical practice: a practical software-based approach
title_full_unstemmed Experimental design techniques in statistical practice: a practical software-based approach
title_short Experimental design techniques in statistical practice: a practical software-based approach
title_sort experimental design techniques in statistical practice: a practical software-based approach
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2317614
work_keys_str_mv AT gardinerwp experimentaldesigntechniquesinstatisticalpracticeapracticalsoftwarebasedapproach
AT gettinbyg experimentaldesigntechniquesinstatisticalpracticeapracticalsoftwarebasedapproach