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Biometrics
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Biometrics
Article . 1996 . Peer-reviewed
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Confidence Regions for Evolutionary Trajectories

Confidence regions for evolutionary trajectories
Authors: McCulloch, Charles E.; Boudreau, Michael D.; Via, Sara;

Confidence Regions for Evolutionary Trajectories

Abstract

Summary: We derive confidence regions for the evolutionary trajectories derived from a model of \textit{S. Via} and \textit{R. Lande} [Evolution 39, 505-522 (1985)]. We utilize a nested, parametric bootstrap to calculate the confidence regions and show that a likelihood-based approach provides an unsatisfactory solution. We calculate the predicted evolutionary trajectories and confidence regions using data from an experiment on pupal weight of Tribolium beetles in two different flour types. With realistic sample sizes for experiments that estimate genetic parameters in multiple environments, the confidence regions are likely to be large, potentially limiting the ability to test hypotheses about evolutionary trajectories. The problem may be less acute for trajectories of characters expressed in only a single environment, because sample sizes can generally be larger than in multienvironmental studies.

Related Organizations
Keywords

likelihood ratio, confidence regions, Problems related to evolution, Estimation in multivariate analysis, variance components, evolutionary trajectories, bootstrap, Applications of statistics to biology and medical sciences; meta analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Average
Average
bronze