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In field data analysis, the maximum likelihood method detected more significant QTL and had a smaller residual variance than the regression method.
This difference becomes even more significant if the P-value for likelihood tests was lifted to 0.01, suggesting that positive selection on duplication branches is not only more prevalent but also stronger than that of speciation branches.
The results we presented in [20] show a more significant advantage of the Poisson maximum-likelihood ratio-based similarity measure over the Anscombe transformed L 2-distances.
But the likelihood ratio tests showed more significant interaction for temperature or vapor pressure, and less for relative humidity.
A confounding factor, however, is that genes that are targeted by more probes also have a greater likelihood of obtaining a more significant p value by chance due to multiple testing.
And to its opponents, the law's failure to make a more significant dent in the uninsured population increases the likelihood of its ultimate repeal.
Gradually decreasing μ(m) from the most to the least significant bit-plane tends to concentrate the likelihood of intra coding at the more significant bit-planes.
The smaller the p-value, the lower the likelihood of random association and the more significant the association.
Performance improvements of likelihood-based methods over Rg become more significant when identification is performed on the dataset with higher percentage of missing data and larger noise.
Results from the NBR revealed evidence of over-dispersion, since alpha was greater than zero with a significant likelihood ratio test, implying that NBR was more appropriate for the data than the standard Poisson model.
It therefore is important to evaluate more formal error mitigation and process analysis methods of industrial engineering to more optimally focus available QA resources on process components that have a significant likelihood of compromising patient safety or treatment outcomes.
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