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JMP 14 consumer research
JMP 14 Consumer Research focuses on analyses that help users observe and predict subject's behavior, particularly those in the market research field. The Uplift platform predicts consumer behavior based on shifts in marketing efforts. Learn how to tabulate and summarize categorical responses wi...
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Lenguaje: | eng |
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SAS Institute
2018
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Acceso en línea: | http://cds.cern.ch/record/2744761 |
_version_ | 1780968646435143680 |
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author | SAS Institute |
author_facet | SAS Institute |
author_sort | SAS Institute |
collection | CERN |
description | JMP 14 Consumer Research focuses on analyses that help users observe and predict subject's behavior, particularly those in the market research field. The Uplift platform predicts consumer behavior based on shifts in marketing efforts. Learn how to tabulate and summarize categorical responses with the Categorical platform. Factor Analysis rotates principal components to help identify which directions have the most variation among the variables. Multiple Factor Analysis is frequently used in sensory analysis to account for differing measures among panelists. The book also covers Item Analysis, a method for identifying latent traits that might affect an individual's choices. And read about the Choice platform, which market researchers use to estimate probability in consumer spending. |
id | cern-2744761 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | SAS Institute |
record_format | invenio |
spelling | cern-27447612021-04-21T16:44:57Zhttp://cds.cern.ch/record/2744761engSAS InstituteJMP 14 consumer researchXXJMP 14 Consumer Research focuses on analyses that help users observe and predict subject's behavior, particularly those in the market research field. The Uplift platform predicts consumer behavior based on shifts in marketing efforts. Learn how to tabulate and summarize categorical responses with the Categorical platform. Factor Analysis rotates principal components to help identify which directions have the most variation among the variables. Multiple Factor Analysis is frequently used in sensory analysis to account for differing measures among panelists. The book also covers Item Analysis, a method for identifying latent traits that might affect an individual's choices. And read about the Choice platform, which market researchers use to estimate probability in consumer spending.SAS Instituteoai:cds.cern.ch:27447612018 |
spellingShingle | XX SAS Institute JMP 14 consumer research |
title | JMP 14 consumer research |
title_full | JMP 14 consumer research |
title_fullStr | JMP 14 consumer research |
title_full_unstemmed | JMP 14 consumer research |
title_short | JMP 14 consumer research |
title_sort | jmp 14 consumer research |
topic | XX |
url | http://cds.cern.ch/record/2744761 |
work_keys_str_mv | AT sasinstitute jmp14consumerresearch |