Analysis of variance and covariance how to choose and construct models for the life sciences
Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to t...
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2007
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| 100 | 1 | |a Doncaster, C. Patrick | |
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| 520 | |a Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts. | ||
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| spelling | Doncaster, C. Patrick Analysis of variance and covariance how to choose and construct models for the life sciences C. Patrick Doncaster and Andrew J.H. Davey Analysis of Variance & Covariance Cambridge Cambridge University Press 2007 1 Online-Ressource (xiii, 287 Seiten) txt c cr Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts. Davey, Andrew J. H. 1977- Erscheint auch als Druck-Ausgabe 9780521684477 Erscheint auch als Druck-Ausgabe 9780521865623 TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/CBO9780511611377 Volltext |
| spellingShingle | Doncaster, C. Patrick Analysis of variance and covariance how to choose and construct models for the life sciences |
| title | Analysis of variance and covariance how to choose and construct models for the life sciences |
| title_alt | Analysis of Variance & Covariance |
| title_auth | Analysis of variance and covariance how to choose and construct models for the life sciences |
| title_exact_search | Analysis of variance and covariance how to choose and construct models for the life sciences |
| title_full | Analysis of variance and covariance how to choose and construct models for the life sciences C. Patrick Doncaster and Andrew J.H. Davey |
| title_fullStr | Analysis of variance and covariance how to choose and construct models for the life sciences C. Patrick Doncaster and Andrew J.H. Davey |
| title_full_unstemmed | Analysis of variance and covariance how to choose and construct models for the life sciences C. Patrick Doncaster and Andrew J.H. Davey |
| title_short | Analysis of variance and covariance |
| title_sort | analysis of variance and covariance how to choose and construct models for the life sciences |
| title_sub | how to choose and construct models for the life sciences |
| url | https://doi.org/10.1017/CBO9780511611377 |
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