maximum likelihood

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maximum likelihood

n
1. (Statistics) the probability of randomly drawing a given sample from a population maximized over the possible values of the population parameters
2. (Statistics) the non-Bayesian rule that, given an experimental observation, one should utilize as point estimates of parameters of a distribution those values which give the highest conditional probability to that observation, irrespective of the prior probability assigned to the parameters
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The phylogenetic relationship of the 18 haplotypes was constructed by maximum likelihood method, and two clusters were identified.
Phylogenetic analysis was done using maximum likelihood method based on the Tamura-Nei model.
The evolutionary history of all selected black Aspergillus strains, based on ITS and partial calmodulin gene sequences is inferred by the Tamura-Nei model (Tamura and Nei, 1993) based Maximum Likelihood method using the program MEGA6 (Tamura et al., 2013).
We inferred the evolutionary history by using the maximum likelihood method based on the general time-reversible model (33).
Rate optimality is however less strong than optimality in the Cramer-Rao sense [21,31], that is reached by the maximum likelihood method, if the true law is with in the parametrization scheme.
In addition, the maximum likelihood method assumes the multivariate normality of the data.16Also, the multivariate kurtosis of the data was found 296,957, and this suggests that data violate the multivariate normality a little.
Guo [7] compared three methods for the estimation of the critical gap for roundabouts, including Ashworth's method, Raff's method, and the maximum likelihood method to calculate the critical gap at roundabouts.
The maximum likelihood method is used to develop estimators for the parameters of the new family.
Based on Wiener process, a degradation model is built whose parameters are estimated and updated by maximum likelihood method and Bayesian method, separately.
Although the maximum likelihood method is the preferred method for fitting distributions, because the sample mean is unknown for each of the data sets in Table 1, the maximum likelihood method cannot be used to fit the distributions.
Kumm species collected from Pakistan was carried out using maximum likelihood method. The sequences included in this analysis had 1254 characters, from which 690 characters were used in final analysis after trimming the alignment from both 5' and 3' sides.
To estimate the unknown parameters, maximum likelihood method was used.

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