Tests for two trees using likelihood methods.

@article{Susko2014TestsFT,
  title={Tests for two trees using likelihood methods.},
  author={Edward Susko},
  journal={Molecular biology and evolution},
  year={2014},
  volume={31 4},
  pages={1029-39}
}
This article considers two similar likelihood-based test statistics for comparing two fixed trees, the Kishino-Hasegawa (KH) test statistic and the likelihood ratio (LR) statistic, as well as a number of different methods for determining thresholds to declare a significant result. An explanation is given for why the KH test, which uses the KH test statistic and normal theory thresholds, need not give correct type I error probabilities under the appropriate null hypothesis. Simulations show that… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 30 references

Asymptotic distribution of test statistics in the analysis of moment structures under inequality constraints

A. Shapiro
Biometrika 72: 133–144. • 1985
View 5 Excerpts
Highly Influenced

Likelihood ratio tests with boundary constraints using data-dependent degrees of freedom

E. Susko
Biometrika 100:1019–1023. • 2013
View 9 Excerpts
Highly Influenced

The jacknife, the bootstrap and other resampling plans

B. Efron
CBMS-NF regional conference series in applied mathematics, 1038 • 1982
View 4 Excerpts
Highly Influenced

Genome-scale evidence of the nematode-arthropod clade

Genome Biology • 2005
View 4 Excerpts
Highly Influenced

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