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The relative fit of the parameters estimated by each of these models of codon substitution is represented by a maximum likelihood value that can be compared between nested hypotheses by a Likelihood Ratio Test (LRT).

With a sufficiently large ensemble (determined through experimentation), the mean state should represent the maximum likelihood value for the process at the time.

In the expression above, k is the number of independently adjusted parameters and L is the maximum likelihood value for n number of regular observations.

The box plots represent the distribution of the net carbon balance when parameters of each submodel are set to their maximum likelihood value.

It takes the glossary space information and channel spectral situation i.e., the SNR value from the environment, as an input to determine the most proper glossaries set in the glossary space by computing the maximum likelihood value.

Consequently, the model-independent analysis of the extra relativistic degrees of freedom for dark photons has been analyzed by considering the maximum likelihood value L as a function of (N_{text{eff }}) and by considering (ln left( {LN_{text{eff}} /L_{ hbox{max} } } right)) as a function of (N_{text{eff}}).

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Similar(11)

The cross indicates the position of the maximum likelihood values.

This investigation provides us with the 2D function χ 2 ε,M), whose minimum corresponds to the maximum likelihood values for the mean magnetic thickness and the mean magnetization.

Indeed the parameters were estimated either via maximum likelihood values or via the likelihood surface [2].

The LRT statistic was calculated as twice the difference in maximum likelihood values (2Δℓ) between nested models.

In non-migrants the situation with respect to phylogeny is quite different: maximum likelihood values of λ are high and not significantly different from one (range 0.92 to 1; Table 4).

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