Exact(1)
QTL interval mapping is then the maximum likelihood estimate of each Q j and the selection of those Q j where the log likelihood exceeds some threshold.
Similar(59)
We outlined a framework for two-layered hierarchies; the number of layers, however, can easily be expanded (see also [2]), and will, in all likelihood, exceed two layers in complex processes, as for instance in language production and perception.
The SH-test [ 28] indicated that, using the molecular dataset, both the morphological tree and a tree in which each microhabitat specialization was constrained to be monophyletic were significantly less likely (all differences in likelihood exceeded 637 and all P < 0.001).
For nine of the sixteen datasets the difference between the smallest and largest −2×log-likelihood exceeded 1; for one it exceeded 5.
In conclusion, a group of incidents is determined depending on whether the likelihood ratio exceeds the threshold.
Taking logarithms, and noting that different positions i are i.i.d., it is clear that testing whether a user's likelihood ratio exceeds η 1 is equivalent to testing whether his score S j exceeds (eta = ln eta _{1}) for g defined by begin{array}{*{20}l} g x,y,p) = lnleft(frac{f_{X,Y|P} x,y|p,H_{0})}{f_{X,Y|P} x,y|p,H_{1})}right).
The Neyman-Pearson lemma [27] tells us that the most powerful test to distinguish between H 0 and H 1 is to test whether the following likelihood ratio exceeds an appropriately chosen threshold η: begin{array}{*{20}l} Lambda vec{x}, vec{y}, vec{p}) = frac{f_{vec{X},vec{Y}|vec{P}} vec{x},vec{y}|vec{p},H_{0})}{f_{vec{X},vec{Y}|vec{P}} vec{x},vec{y}|vec{p},H_{1})}.
If the log-likelihood ratio exceeds a certain threshold the subgraph is predicted to be a complex.
A target would be considered present then if the weighted likelihood peak exceeded a certain threshold.
Results indicated a likelihood of exceeding action limits of 75% for Cu and between 50 and 75% for Zn.
"We believe that Schering-Plough has the greatest likelihood of exceeding expectations due to strong Vytorin and Nasonex prescription trends.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com