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The coefficients of the ARIMA model are determined by using maximum likelihood estimation.
By using maximum likelihood method, Hill [10] introduced the following well-known estimator of, that is, (1.3).
Exploratory factor analyses were conducted by using maximum likelihood extraction with Geomin rotation to examine the factor structure of the original 70 items for each parent.
The ZIP regression model has been developed and utilized to handle data of this type, and is traditionally estimated by using maximum likelihood.
In the request prediction step, the prediction algorithm forecasts a Poisson distribution parameter λ in every predetermined interval by using Maximum Likelihood Estimation (MLE) and Local Linear Regression LLRR) methods.
In these methods we used FFT and autoregressive (AR) model by using maximum likelihood estimation (MLE) of EEG signals as an input to classification system with two discrete outputs: epileptic seizure or nonepileptic seizure.
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In F2 populations, the type of selection (gametic and/or zygotic) responsible for SD can be determined by using maximum-likelihood models proposed by previous studies (Lorieux et al. [1995]; Pham et al. [1990]; Wang et al. [2005]).
Phylogenetic trees were inferred by using maximum-likelihood (ML) and Bayesian methods.
Phylogenetic analyses were generated by using maximum-likelihood methods (8).
The gene tree was constructed by using Maximum-Likelihood algorithm with the suggested best model.
For each gene, phylogenetic trees were inferred by using maximum-likelihood and Bayesian inference methods.
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