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Optimizing the likelihood directly for all the unknowns is a difficult problem.
The parameters can be found by optimizing the likelihood of the data L(Data| α, β).
Nevertheless, optimizing the likelihood can be justified by assuming P(D) and P G) to be equal for all G.
By adopting the non-parametric approach, the assumption of normality for the random effects is avoided, and optimizing the likelihood is computationally less demanding.
This approach has had the advantage of optimizing the likelihood of catching the majority of HoFH patients in Germany for the survey.
In this case, one could begin by first optimizing the likelihood based on the discrete Wright Fisher model over small values of N NN < 5000).
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In each case, a convergence criterion 1e−05 from the command optmum of Gauss has been used to optimize the likelihood function.
The intervention was designed to optimize the likelihood that 25% CR would be achieved through a variety of nutritional and behavioral strategies, several of which are innovative methods for achieving CR.
The semelparous female potentially optimizes the likelihood of reproductive success by mating with proven fathers.
FastTree optimizes the likelihood of the tree (with fixed branch lengths and topology) by numerically optimizing each of the six parameters in the model in turn.
Biological systems exposed to new environmental cues react by adapting their cellular and physiological program in order to optimize the likelihood of survival under the new condition.
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