Sentence examples for maximum likelihood fitting from inspiring English sources

Analyses were carried out by average information restricted maximum likelihood, fitting four single-trait repeatability animal models with various combinations of individual and maternal effects.

Given the basis patterns, we invert an observed image to deduce their coefficients by using maximum likelihood fitting for Poisson distributed uncertainties.

Given the basis patterns, we invert an observed image to deduce the basis pattern coefficients by using maximum likelihood fitting for Poisson distributed uncertainties.

Parameter expanded and standard expectation maximisation algorithms are described for reduced rank estimation of covariance matrices by restricted maximum likelihood, fitting the leading principal components only.

Response indicators can be related to dose volume histogram (DVH) and dose-function histogram (DFH) data by maximum likelihood fitting to the parametric NTCP/EUD models.

Future work can investigate employing STL ideas for small counts by replacing the square root normal distribution and local least-squares fitting with the Poisson distribution and local Poisson maximum likelihood fitting.

Sampling distributions are constructed for each tested point of the parameter of interest by generating simulated experiments and performing maximum likelihood fits in which the Gaussian mean values of the external constraints on the nuisance parameters are randomized around the best-fit values for the nuisance parameters used to generate the simulated experiments.

Unbinned extended maximum likelihood fits to the pπ−π+π− and the pπ−K+K− invariant mass distributions are shown in Fig. 2. The invariant mass distribution of the Λb0 signal is modelled by a Gaussian core with power-law tails42, with the mean and the width of the Gaussian determined from the fit to data.

After densely sampling φp we choose the maximum of all the maximum likelihood

Following Pinheiro and Bates (2000), maximum likelihood fitted models were used when models were compared, whereas a restricted maximum likelihood fitted model was used for parameter estimation.

Consistent with previous results, maximum likelihood fits resulted in best-fit parameters associated with a gradual evidence accumulation strategy.