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Additionally, given the skewed nature of the whole-face RMS measurements, a two-parameter Weibull distribution was fitted to the data on the 28 symmetrical subjects, using methods of maximum likelihood to estimate the parameters from the data.
The results from the suggested No Sampling Parameter Estimation (NSPE) algorithm for selected examples are compared with the data, results from deterministic ODE (ordinary differential equation) model and traditional methods of maximum likelihood estimation (MLE) and generalized method of moments (GMM) for SDEs.
Our implementation is straightforward and relies on well-regarded methods of maximum likelihood phylogenetic inference.
To estimate consistency of the results, we repeated the analyses using the alternative methods of maximum likelihood and orthogonal rotation [ 36].
Phylogenetic reconstruction was carried out using the methods of Maximum Likelihood (ML), Maximum Parsimony (MP) and Neighbour-Joining (NJ), all computed using the MEGA 5.1 software package.
The data were analyzed using Probit analysis (methods of maximum likelihood) (Finney 1980) to obtain an estimate of the median effective dose that produced a change in salt taste intensity.
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The method of maximum likelihood corresponds to many well-known estimation methods in statistics.
The estimation of the model parameters is performed by the method of maximum likelihood.
The method of maximum likelihood is used for estimating the coefficients of the estimators.
The method of maximum likelihood estimation is used in estimating the parameters of the KGD.
The estimation of the parameters is approached by the method of maximum likelihood.
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