Concerns regarding a Call for Pluralism of Information Theory and Hypothesis Testing
1. Stephens et al. (2005) argue for 'pluralism' in statistical analysis, combining null hypothesis testing and information-theoretic (I-T) methods. We show that I-T methods are more informative even in single variable problems and we provide an ecological example. 2. I-T methods allow infe...
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Bibliographische Detailangaben
| Veröffentlicht in: | Journal of Applied Ecology. - Blackwell Science Ltd., 1964. - 44(2007), 2, Seite 456-460
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| 1. Verfasser: |
Lukacs, Paul M.
(VerfasserIn) |
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| Weitere Verfasser: |
Thompson, William L.,
Kendall, William L.,
Gould, William R.,
Burnham, Kenneth P.,
Anderson, David R. |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2007
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| Zugriff auf das übergeordnete Werk: | Journal of Applied Ecology
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| Schlagworte: | Akaike's Information Criterion
Information Theory
Model Selection
Multimodel Inference
null Hypothesis Testing
Statistical Analysis
Behavioral sciences
Biological sciences
Philosophy
Mathematics
mehr...
Applied sciences
History |
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