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Statistical power analysis: a simple and general model for traditional and modern hypothesis tests
Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical a...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Taylor & Francis
2014
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1748575 |
| _version_ | 1780943011921788928 |
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| author | Murphy, Kevin R Myors, Brett Wolach, Allen |
| author_facet | Murphy, Kevin R Myors, Brett Wolach, Allen |
| author_sort | Murphy, Kevin R |
| collection | CERN |
| description | Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical analysis how to obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to choose the appropriate criterion for defining statistically significant outcomes are sprinkled throughout. The book presents a simple and g |
| id | cern-1748575 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2014 |
| publisher | Taylor & Francis |
| record_format | invenio |
| spelling | cern-17485752021-04-21T20:55:24Zhttp://cds.cern.ch/record/1748575engMurphy, Kevin RMyors, BrettWolach, AllenStatistical power analysis: a simple and general model for traditional and modern hypothesis testsMathematical Physics and MathematicsNoted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical analysis how to obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to choose the appropriate criterion for defining statistically significant outcomes are sprinkled throughout. The book presents a simple and gTaylor & Francisoai:cds.cern.ch:17485752014 |
| spellingShingle | Mathematical Physics and Mathematics Murphy, Kevin R Myors, Brett Wolach, Allen Statistical power analysis: a simple and general model for traditional and modern hypothesis tests |
| title | Statistical power analysis: a simple and general model for traditional and modern hypothesis tests |
| title_full | Statistical power analysis: a simple and general model for traditional and modern hypothesis tests |
| title_fullStr | Statistical power analysis: a simple and general model for traditional and modern hypothesis tests |
| title_full_unstemmed | Statistical power analysis: a simple and general model for traditional and modern hypothesis tests |
| title_short | Statistical power analysis: a simple and general model for traditional and modern hypothesis tests |
| title_sort | statistical power analysis: a simple and general model for traditional and modern hypothesis tests |
| topic | Mathematical Physics and Mathematics |
| url | http://cds.cern.ch/record/1748575 |
| work_keys_str_mv | AT murphykevinr statisticalpoweranalysisasimpleandgeneralmodelfortraditionalandmodernhypothesistests AT myorsbrett statisticalpoweranalysisasimpleandgeneralmodelfortraditionalandmodernhypothesistests AT wolachallen statisticalpoweranalysisasimpleandgeneralmodelfortraditionalandmodernhypothesistests |