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Parameter landscapes unveil the bias in allometric prediction
Article first published online: 18 JAN 2010
© 2010 The Authors. Journal compilation © 2010 British Ecological Society
Methods in Ecology and Evolution
Volume 1, Issue 1, pages 69–74, March 2010
How to Cite
Hui, C., Terblanche, J. S., Chown, S. L. and McGeoch, M. A. (2010), Parameter landscapes unveil the bias in allometric prediction. Methods in Ecology and Evolution, 1: 69–74. doi: 10.1111/j.2041-210X.2009.00005.x
- Issue published online: 23 FEB 2010
- Article first published online: 18 JAN 2010
- Received 2 October 2009; accepted 23 November 2009 Handling Editor: Robert P. Freckleton
Appendix S1. Procedures for generating data with four forms of residuals and three levels of scatter.
Appendix S2. On the choice of line-fitting methods for allometric regression.
Appendix S3.Mathematica code (version 6.0; Wolfram Research, Inc.) and the performance of the parameter landscape.
Appendix S4. Effects of residual form, the level of scatter and sample size on allometric regression.
Appendix S5. Tests of the parameter sensitivity.
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