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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Elsevier Science & Technology
1998
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2317614 |
_version_ | 1780958311028359168 |
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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. |
id | cern-2317614 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 1998 |
publisher | Elsevier Science & Technology |
record_format | invenio |
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 |