Sentence examples for model using maximum from inspiring English sources

Estimation of the parameters of the SAR model using Maximum Likelihood (ML) theory is computationally very expensive because of the need to compute the logarithm of the determinant (log-det) of a large matrix in the log-likelihood function.

A linear mixed effects model using maximum restricted likelihood estimation (R-package nlme) was applied to test for differences in the length of needle lesions between a zero control and phosphorous acid treatments.

The expected average WTP according to the logit model, using maximum likelihood was calculated by numerical integration in the range of zero to the maximum amount of the proposed bid as follows: E WTP ={displaystyle underset{0}{overset{30000}{int }}}left(frac{1}{1+ ex{p}^{left{-left(2.134299-0.001845* BIDright)right}}}right dA=26820 (9).

We refit these distributions with the original model using maximum likelihood.

We estimate the parameters of the model using maximum likelihood.

When fitting the full model using maximum likelihood, models (1) and (5) are fitted simultaneously.

This chapter also illustrates model simulation using maximum selector model.

The idea behind the proposed approach is to extract the model holding for the sample data as a function of the model in the population and the first-order inclusion probabilities, and then fit the sample model using maximum-likelihood, pseudo-maximum-likelihood and estimating equations methods.

Fitting this model using maximum-likelihood techniques would only ensure the original randomisation balance is preserved if all models are correctly specified.

(4) We inferred a common decision-making rule by fitting the parameters of a Bayesian decision-making model using maximum-likelihood estimation.

Although it is technically feasible to fit our model using maximum-likelihood estimation, the limited data meant that there was little information available to reliably estimate the variance components.