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Calculation and Miscalculation of the Allometric Equation as a Model in Biological Data

BioScience, 1968
The simple linear regression model, (1) Y= 0o+ 31X, where Y is the dependent variable, X is the independent variable, and P0 and P1 are population parameters to be estimated empirically, often does not adequately describe or represent the relationship between the two variables. A commonly used procedure to arrive at a more descriptive model is to fit a
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[Statistical estimation of parameters in allometric equations].

Izvestiia Akademii nauk. Seriia biologicheskaia, 2000
An algorithm for estimating allometric coefficients widely used in biological studies is presented. The coefficients can be estimated only when the relationship between logarithms of the approximated data meets the linearity criterion. The proposed algorithm was applied for the brain-body weight relationship in mammals and oxygen consumption rate-body ...
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Urban tree database and allometric equations

2016
E. Gregory McPherson   +2 more
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Treatment of negative numbers in allometric equations

American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 1984
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Allometric equations and timber markets: an important forerunner of REDD+?

2014
Allometry describes the practice of measuring one part of something in order to estimate the size of another (larger, harder to measure) part. For forests, allometry typically takes the form of a measurement of a tree’s diameter (at ‘breast height’, shortened to ‘DBH’) – a task easily performed in the field with a tape measure.
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Developing Allometric Equations for Estimating Shrub Biomass in a Boreal Fen

Forests, 2018
Gregory J Mcdermid   +2 more
exaly  

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