Examples of using Maximum likelihood in English and their translations into Portuguese
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Computer
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the data was frank, named according to the criterion of maximum likelihood.
In econometric approaches for anns, the estimation by quasi maximum likelihood(qml) always prevailed.
Spot-5 satellite images were used to carry out the supervised classification of the maximum likelihood algorithm¿ml.
data were included in a meta-analysis model of random-effects adjusted for restricted maximum likelihood.
in SPSS version 14.0, and later analyzed with the Fisher-Freeman-Halton and Maximum likelihood tests.
The parameters of the models were estimate by maximum likelihood method. the models were compare by the aic criteria.
A maximum likelihood analysis of four genes by computational phylogenetics indicated that"M. proboscideus" and"M. flavicaudatus" are sister species,
First, we propose estimators for the corresponding parameters using the maximum likelihood and generalized method of moments.
The estimation method used was maximum likelihood with a minimum of ten observations per item,
The technique of maximum likelihood estimation is one of the most used methodologies in the eld of statistics.
A maximum likelihood estimation analysis was obtained for each marker separately and for concatenated.
Estimates of variance components were obtained by restricted maximum likelihood derivative free method,
The maximum likelihood test showed a statistically significant association between age
The parameter estimation is performed by maximum likelihood method using the gauss hermite quadrature to approximate the likelihood function.
We used the maximum likelihood method, commonly used to estimate parameters in structural equation models.
Numerical results indicated that the maximum likelihood estimators of some parameters are biased in sample sizes smaller than 3,000.
Restricted maximum likelihood(reml) was the method used for the estimation of variance and covariance components, using a univariate animal model for estimation of heritability coefficients and a bivariate model.
The maximum likelihood estimator of formula_7 based on a random sample is the sample mean.
We discuss estimation of the model parameters by maximum likelihood and provide an application to a real data set.
