Sentence examples for by maximum likelihood estimators from inspiring English sources

Finally, the parameter values of naïve Bayes, i.e., mean and covariance of Gaussian distribution, are estimated by maximum likelihood estimators.

by maximum likelihood estimators, method of moments (MOM) or by methods of L-Moments.

Unobservable state variables are usually estimated with extended Kalman filter (EKF), and the unknown pharmacokinetic parameters are usually estimated by maximum likelihood estimator.

We propose a procedure to estimate the model parameters of presented nonlinear Resistance-Capacitance (RC) and the widely used linear Resistance-Inductance-Capacitance (RIC) models of the respiratory system by Maximum Likelihood Estimator (MLE).

Thus, we need another hypothesis test, which can distinguish (a) from (d). > We then consider the following hypotheses over the covariance: Here, ℓ0* can be given by ℓ1* of MANOVA [i.e. Equation (8)], and ℓ1* can be obtained by using maximum likelihood estimators and S k for μ k and Σ k, respectively, in Equation (1).

We estimate the population size by means of the maximum likelihood estimators suggested by the above-mentioned authors or by the Bayesian estimators proposed by Félix-Medina and Monjardin [M.H. Félix-Medina, P.E. Monjardin, Combining link-tracing sampling and cluster sampling to estimate the size of hidden populations: A Bayesian-assisted approach, Survey Methodology 32 (2006) 187–195].

Thus, by the invariance property of maximum likelihood estimators (see e.g. p. 105 of van den Bos [11]), it is the maximum likelihood estimator for the incidence.

Restricted maximum likelihood estimators were used to estimate model parameters.

Figure 9 compares the MC code with the C/A code for range estimation in terms of their CRLB and their maximum likelihood estimators (MLE) by displaying the root mean square error (RMSE) in meter versus SNR in order to demonstrate the proposed theory in (7).

In case of diffusion type processes driven by fractional Brownian motions, a popular method is the maximum likelihood estimators (MLE).

The performance of the maximum likelihood estimators (MLEs) are also investigated by a simulation study in this section.