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

Ecology

Volumn 92, Issue 10, 2011, Pages 1887-1894

  Xiao, Xiao ^a   White, Ethan P ^a   Hooten, Mevin B ^a,b   Durham, Susan L ^a  

^a UTAH STATE UNIVERSITY   (United States)

^b Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

Allometry; Log transformation; Model averaging; Model comparison; Nonlinear regression; Parameter estimation; Power law

Indexed keywords

ALLOMETRY; COMPARATIVE STUDY; COMPUTER; ERROR ANALYSIS; GUIDELINE; MONTE CARLO ANALYSIS; NONLINEARITY; POWER LAW; REGRESSION ANALYSIS;

ARTICLE; BIOLOGICAL MODEL; ECOSYSTEM; ENVIRONMENTAL MONITORING; METHODOLOGY; NONLINEAR SYSTEM;

ECOSYSTEM; ENVIRONMENTAL MONITORING; MODELS, BIOLOGICAL; NONLINEAR DYNAMICS;

EID: 80053599296     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/11-0538.1     Document Type: Article

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