Sentence examples for maximum likelihood equations from inspiring English sources

However, to derive the maximum likelihood equations, the model was restricted to include only one Gaussian component per state.

Generalized Linear Modelling was used to fit the data using maximum likelihood equations (PROC GENMOD), and the first-order autoregressive function was used to examine weekly mean volume of physical activity across intervention groups, while accounting for repeated measures in weekly assessments.

Since this method assumes that sampled nests contribute an equal number of progeny, we developed software to randomly sample a single diploid individual from each nest containing a sexed pupa, before applying the maximum likelihood equations to estimate the parameters of interest.

Based on his work Senn and Brown [ 26] derived maximum likelihood equations to estimate the RTM and the treatment effect.

Matrix formulations of maximum likelihood equations for parentage assignment were developed for the quantitative genotypes and also for discrete genotypes perturbed by an assumed error term.

The maximum likelihood equation is begin{array}rcl@ sumlimits_{j=1}^{n}dot ellleft({hat{vartheta}}_{n},X_{j}right)=0.

To build the IK model, we employ the genetic algorithm (GA) method to find the Kriging hyperparameters θ, by solving the maximum likelihood equation (MLE).

The univariate logistic regressions corresponding to the Wald test (as implemented in SAM) reached the maximum number of iterations before the maximum likelihood equation had been solved; they were therefore discarded, following the recommendations of Joost et al. [ 63, 64].

Recombination values between markers were estimated by the maximum-likelihood equation (Allard 1956) using Kosambi's mapping function (Kosambi 1944).

The models provide the closed form solutions of the maximum likelihood estimating equations for the parameter estimation under a Bernoulli setup.

The maximum likelihood score equations in matrix notations can be written as X^{T} left( {varvec{y} -varvec{mu}} right) = 0,where, (varvec{mu}= left( {mu_{1}, ldots,mu_{n} } right)^{T}).