Modeling observed animal performance using the Weibull distribution
To understand how organisms adapt, researchers must link performance and microhabitat. However, measuring performance, especially maximum performance, can sometimes be difficult. Here, we describe an improvement over previous techniques that only consider the largest observed values as maxima. Instead, we model expected performance observations via the Weibull distribution, a statistical approach that reduces the impact of rare observations. After calculating group-level weighted averages and variances by treating individuals separately to reduce pseudoreplication, our approach resulted in high statistical power despite small sample sizes. We fitted lizard adhesive performance and bite force data to the Weibull distribution and found that it closely estimated maximum performance in both cases, illustrating the generality of our approach. Using the Weibull distribution to estimate observed performance greatly improves upon previous techniques by facilitating power analyses and error estimations around robustly estimated maximum values.
Volltext auch unter: https://www.researchgate.net/publication/298898141_Modeling_observed_animal_performance_using_the_Weibull_distribution
© Copyright 2016 The Journal of Experimental Biology. The Company of Biologists. All rights reserved.
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| Notations: | biological and medical sciences technical and natural sciences |
| Published in: | The Journal of Experimental Biology |
| Language: | English |
| Published: |
2016
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| Online Access: | http://doi.org/10.1242/jeb.129940 |
| Issue: | 219 |
| Pages: | 1603-1607 |
| Document types: | article |
| Level: | advanced |