کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5586518 1568635 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Misconceptions about logarithmic transformation and the traditional allometric method
ترجمه فارسی عنوان
اشتباهات در مورد تبدیل لگاریتمی و روش آلومتریایی سنتی
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم دامی و جانورشناسی
چکیده انگلیسی
Logarithmic transformation is often assumed to be necessary in allometry to accommodate the kind of variation that accompanies multiplicative growth by plants and animals; and the traditional approach to allometric analysis is commonly believed to have important application even when the bivariate distribution of interest is curvilinear on the logarithmic scale. Here I examine four arguments that have been tendered in support of these perceptions. All the arguments are based on misunderstandings about the traditional method for allometric analysis and/or on a lack of familiarity with newer methods of nonlinear regression. Traditional allometry actually has limited utility because it can be used only to fit a two-parameter power equation that assumes lognormal, heteroscedastic error on the original scale. In contrast, nonlinear regression can fit two- and three-parameter power equations with differing assumptions about structure for error directly to untransformed data. Nonlinear regression should be preferred to the traditional method in future allometric analyses.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Zoology - Volume 123, August 2017, Pages 115-120
نویسندگان
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