A New Method to Compute Standard-Weight Equations That Reduces Length-Related Bias

By K. Gerow, Richard Anderson-Sprecher, W. Hubert. 2005

53 citations recorded by the source corpus.

Subfields: Animal Science and Zoology, Parasitology

View Paper: https://www.semanticscholar.org/paper/1b3508903f9a90ceb50b4cb9e22dfa26c31f83dd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Animal Science and Zoology

1. Tracy J. Richter
2. A. Rypel

In Parasitology

1. Tracy J. Richter
2. A. Rypel

Citations in the corpus

• Cube law, condition factor and weight-length relationships: history, meta-analysis and recommendations (2006, background): “Methods for estimating standard weights are still being debated ( Gerow et al., 2005 ) and thus to date, RPL-based standard weight equations have been published for fewer than 70 species, all from North America.”
• Empirical Percentile Standard Weight Equation for the Blacktail Redhorse (2008, methodology): “To summarize differences between W s equations, we plotted RLP and EmP values of W r against TL (Gerow et al. 2005); in some cases, the W r values differed by as much as 16%, but the difference was not consistent and decreased with increasing length (Figure 3).”