Add to ORKGNot AvailableA comparative study of linear and non· linear parameter estimation procedures for allometric model describing the length · weight relationship is carried out. It is shown thallhe latter approach is the correct one from statistical point of view. II is demonstrated. by an illu stration, that the proposed procedure may yield parameter estimates vvhich are n01 only quantitatively different from the corresponding ones for linear estimation but also have a bearing on the biological interpretation.Not Availabl
The slope bias when the predictor variable suffers from measurement errors is investigated. The pres...
<p>Comparison of linear mixed-effects models predicting weight from other measurable body parameters...
<p>Model comparison and parameter estimates with 90% CI for the linear and non-linear models for all...
A comparative study of linear and non· linear parameter estimation procedures for allometric model d...
Abstract Allometric scaling models are a common tool for describing and quantifying relationships be...
Allometric equations are widely used in many branches of biological science. The potential informati...
Allometry studies describe how phenotypic traits increase relative to the increase of the size of th...
Fitting a line to a bivariate dataset can be a deceptively complex problem, and there has been much ...
Fitting a line to a bivariate dataset can be a deceptively complex problem, and there has been much ...
Mean weights are plotted with error bars representing the standard error of each group. The 95% conf...
Not AvailableIn allometric relationships,only 2 parameters are compared at anyone time. Moreover, i...
<p>Regressions of resistance to evaporative water loss (REWL) and rates of water uptake (RWU) as fun...
<p>Parameter estimates of the linear regression model testing the effect of genotype on the level of...
Summary: The bioinetrical treatment of laboratory data may require the estimation of a regression li...
<p>The linearization well approximates expected population REE given total values of body mass in t...
The slope bias when the predictor variable suffers from measurement errors is investigated. The pres...
<p>Comparison of linear mixed-effects models predicting weight from other measurable body parameters...
<p>Model comparison and parameter estimates with 90% CI for the linear and non-linear models for all...
A comparative study of linear and non· linear parameter estimation procedures for allometric model d...
Abstract Allometric scaling models are a common tool for describing and quantifying relationships be...
Allometric equations are widely used in many branches of biological science. The potential informati...
Allometry studies describe how phenotypic traits increase relative to the increase of the size of th...
Fitting a line to a bivariate dataset can be a deceptively complex problem, and there has been much ...
Fitting a line to a bivariate dataset can be a deceptively complex problem, and there has been much ...
Mean weights are plotted with error bars representing the standard error of each group. The 95% conf...
Not AvailableIn allometric relationships,only 2 parameters are compared at anyone time. Moreover, i...
<p>Regressions of resistance to evaporative water loss (REWL) and rates of water uptake (RWU) as fun...
<p>Parameter estimates of the linear regression model testing the effect of genotype on the level of...
Summary: The bioinetrical treatment of laboratory data may require the estimation of a regression li...
<p>The linearization well approximates expected population REE given total values of body mass in t...
The slope bias when the predictor variable suffers from measurement errors is investigated. The pres...
<p>Comparison of linear mixed-effects models predicting weight from other measurable body parameters...
<p>Model comparison and parameter estimates with 90% CI for the linear and non-linear models for all...