Sentence examples for maximum likelihood that from inspiring English sources

Proposed technique is based on the method of maximum likelihood that matches expected and observed spectral domain signatures of the signal intermixed with the noise.

a marginal regression model (fitted using standard maximum likelihood) that ignores clustering ('No clustering').

A mixed model (random factor: Subject, fixed factor: Time, missing data: restricted maximum likelihood), that allows the inclusion of all six cases in the analysis, indicated a significant reduction of symptoms across time; F (2,5) = 15.45, p < 0.01.

As an example, in model 3 we used the parameters inferred by maximum likelihood that are shown in Table 2 to simulate 10,000 SNPs per bootstrap by means of Monte Carlo methods.

Chang's team used a statistical method, known as maximum likelihood, that identifies the series of changes most likely to have generated the observed range of modern proteins and extrapolates the most likely common ancestor--the archosaur protein.

This computational burden is reduced by estimating by maximum likelihood, that is, based on, and.

Both genes produced tree topologies and bootstrap values that were similar to that of Maximum Likelihood, so that the corresponding trees are not reported for brevity.

A full-information maximum likelihood estimator that provided chi-square statistics and SEs that were robust to nonnormality (denoted "MLR" in M plus) was used for handling missing data in the remaining analyses.

We show that robustness against filtering, agreement with a maximum likelihood function that takes into account experimental artifacts, the Kuiper statistic test, and alignment with synthetic data all identify the Weibull or stretched exponential distribution as the best fitting model.

The described mixed model will be fitted using maximum likelihood methods that are valid under the missing at random (MAR) assumption.[ 64] However, this assumption relates to the variables that are included in the model.

First, a maximum likelihood approximation that replaces missing discharges below a threshold is developed and tested.