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The three likelihood values, alpha = 0.88.
The cross indicates the position of the maximum likelihood values.
Figure 2 illustrates the combination of two likelihood values, A and B. The likelihood values are displayed on the axes.
So later we will see how to relax the supposition that likelihood values agree precisely.
Specifically, we first independently evaluate likelihood values at discrete delay-Doppler bins for each partition.
Number of observation and the log likelihood values were obtained from the preliminary estimation Sig.
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Also, a likelihood ratio test of the log-Likelihood values (LogL) was applied (Hox [2010]).
It uses the log-likelihood values to prioritize the competing models.
Fig. 2 (a d) Contour maps of log-likelihood values for the BPT model parameters.
The best model for each fleece trait was chosen after testing for improvement of the log-likelihood values.
Each branch-site model was run multiple times to ensure convergence of log-likelihood values.
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