Add to ORKGA 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
Abstract We evaluated three mathematical procedures to estimate the parameters of the relationship b...
<p>Linear model fit on (a) otolith weight on fish age and (b) otolith length on fish total length (T...
The length-weight relationship of the cuttlefish Sepiella inermis was studied. As there was no diffe...
Not AvailableA comparative study of linear and non· linear parameter estimation procedures for allom...
This paper investigated least squares method, non-parametric method and robust regression methods to...
In fisheries science, by means of linear regression models, length-weight relationships are often es...
Length weight relationship and its parameters are requiring in practical assessment of stocks of aqu...
The relationship between length (L) and weight (W) was estimated for 80 species belonging to 50 fami...
Organisms generally increase in size (length, weight) during development. The key factors that infl...
Accurate and unbiased modeling of length-weight relationship (LWR) is essential for precise estimati...
496-500The present study assesses length-weight relationship (LWR) of Auxis thazard, Auxis rochei, E...
One non-linear and two linear methods of fitting the von Bertalanffy growth equa-tion to length-age ...
Evaluation of relative (allometric) growth provides useful information to understand the development...
Biological research data are often represented using nonlinear model specifications that lend themse...
Fisheries management or conservation requires information on length-weight relationship (LWR) for th...
Abstract We evaluated three mathematical procedures to estimate the parameters of the relationship b...
<p>Linear model fit on (a) otolith weight on fish age and (b) otolith length on fish total length (T...
The length-weight relationship of the cuttlefish Sepiella inermis was studied. As there was no diffe...
Not AvailableA comparative study of linear and non· linear parameter estimation procedures for allom...
This paper investigated least squares method, non-parametric method and robust regression methods to...
In fisheries science, by means of linear regression models, length-weight relationships are often es...
Length weight relationship and its parameters are requiring in practical assessment of stocks of aqu...
The relationship between length (L) and weight (W) was estimated for 80 species belonging to 50 fami...
Organisms generally increase in size (length, weight) during development. The key factors that infl...
Accurate and unbiased modeling of length-weight relationship (LWR) is essential for precise estimati...
496-500The present study assesses length-weight relationship (LWR) of Auxis thazard, Auxis rochei, E...
One non-linear and two linear methods of fitting the von Bertalanffy growth equa-tion to length-age ...
Evaluation of relative (allometric) growth provides useful information to understand the development...
Biological research data are often represented using nonlinear model specifications that lend themse...
Fisheries management or conservation requires information on length-weight relationship (LWR) for th...
Abstract We evaluated three mathematical procedures to estimate the parameters of the relationship b...
<p>Linear model fit on (a) otolith weight on fish age and (b) otolith length on fish total length (T...
The length-weight relationship of the cuttlefish Sepiella inermis was studied. As there was no diffe...