Sentence examples for maximum likelihood estimators from inspiring English sources

Finally, in the last part, some general estimation problems are investigated, ranging from rate of convergence of maximum likelihood estimators to efficient estimation in parametric or non-parametric time series models, with an emphasis on applications with non-stationary data.

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

Restricted maximum likelihood estimators were used to estimate model parameters.

We chose to model the error rate π(x * i ) with a logistic model [ 22]: Maximum likelihood estimators were considered to estimate the parameters of the model.

Toutain, T. & Appourchaux, T. Maximum likelihood estimators: an application to the estimation of the precision of helioseismic measurements.

The models were estimated with a negative binomial distribution using Maximum Likelihood estimators.

The consistency of maximum spacing estimation holds under much more general conditions than for maximum likelihood estimators.

However, log-binomial regression estimates are more efficient when compared with the Poisson maximum likelihood estimators [ 24].

Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions.

Students will be able to derive maximum likelihood estimators for standard probability distributions and discuss their properties.

In such scenarios, maximum likelihood estimators based on subjects with observed disease status are generally biased.