On the use of log-transformation vs. nonlinear regression for analyzing biological power laws

Power-law relationships are among the most well-studied functional relationships in biology. Recently the common practice of fitting power laws using linear regression (LR) on log-transformed data has been criticized, calling into question the conclusions of hundreds of studies. It has been suggeste...

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Veröffentlicht in:	Ecology (Durham) 2011-10, Vol.92 (10), p.1887-1894
Hauptverfasser:	Xiao, Xiao, White, Ethan P, Hooten, Mevin B, Durham, Susan L
Format:	Artikel
Sprache:	eng
Schlagworte:	allometry Animal and plant ecology Animal, plant and microbial ecology Biological and medical sciences Conservation biology Datasets Ecological genetics Ecophysiology Ecosystem Environmental Monitoring - methods Experimental data Fundamental and applied biological sciences. Psychology General aspects Linear regression log-transformation model averaging model comparison Modeling Models, Biological Nonlinear Dynamics nonlinear regression parameter estimation Parametric models Point estimators power law Power laws
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