Sentences with phrase «likelihood estimation»

Full information maximum likelihood estimation was used to account for the small number of missing values.

Maximum likelihood estimation of population divergence times and population phylogenies under the infinite sites model Nielsen.

The analyses, using LISREL 8.7, with maximum likelihood estimation method, were conducted in three steps.

The meta - analyses were conducted (JN, XYL, WJH) in Talairach space, using the activation likelihood estimation technique (ALE) implemented in GingerALE 2.1.1 software [9]--[11].

The Confirmatory Factor Analyses (CFA) undertaken used Robust Maximum Likelihood Estimation in MPlus v7.

The impact of nonnormality on full information maximum - likelihood estimation for structural equation models with missing data

Thus, our current analysis, using an activation likelihood estimation approach, provides an important step towards a more focused method of neuroimaging in AB.

To test how well the orthogonal two - factor model (model 1) described the internal structure of the FEEL - KJ, we performed a CFA with robust maximum likelihood estimation on the variance - covariance matrix.

Maximum likelihood estimation of ancestral codon usage bias parameters in Drosophila Nielsen, R., V. L. B. DuMont, M. J. Hubisz, and C. F. Aquadro.

This means that only two emission targets — the peak rate and cumulative carbon emissions — are needed to constrain two key indicators of CO2 - induced climate change (peak warming and peak warming rate), as evidenced by the maximum - likelihood estimation method used above.

This neuroimaging meta - analysis technique, known as Activation Likelihood Estimation (ALE), is now commonly used in neuroimaging research.

Therefore confirmatory analyses were performed using Maximum Likelihood estimations with AMOS 22 (IBM Inc.).

Maximum - likelihood estimation of population divergence times and population phylogeny in models without mutation Nielsen, R., J. L. Mountain, J. P. Huelsenbeck, and M. Slatkin.

Maximum - likelihood estimation of population divergence times and population phylogeny in models without mutation.

Bayesian and maximum likelihood estimation of genetic maps.

Bayesian and maximum likelihood estimation of genetic maps York, T. L., R. T. Durrett, S. Tanksley, and R. Nielsen.

Maximum likelihood estimation of ancestral codon usage bias parameters in Drosophila.

Maximum likelihood estimation of population divergence times and population phylogenies under the infinite sites model.

In the regularized EM algorithm, a regularized estimation method replaces the conditional maximum likelihood estimation of regression parameters in the conventional EM algorithm for Gaussian data.

iv) Assessment of model fit: Structural equation modeling was performed to produce a structural model using the factors finally adopted after exploratory factor analysis (maximum - likelihood estimation and promax rotation) as latent variables.

Maximum - likelihood estimations were based on the Laplace method, and the Akaike information criterion (AIC)-- as a measure of relative goodness of fit32 — was calculated for comparison between the four multilevel models for men and women separately.

We used latent class analysis with maximum likelihood estimation to identify distinct patterns or latent classes of violence experienced by children in the sample.31 Based on violence items included in the interview, we constructed 14 variables for inclusion in the latent class model (table 1).

Full information maximum likelihood estimation, which is one of the most recommended procedures for handling missing values with the pattern of Missing at Random (see Schlomer et al., 2010, for a simulation study), was used in subsequent analyses.

Analyses were implemented at the level of the individual using random effects (multilevel) linear regression models24 fitted using maximum - likelihood estimation to allow for the correlation (or clustering) between the responses of subjects from the same MCH unit.

Then we tested a hypothetical models through a path analysis, using Mplus 7.00 (Muthén et al., 1998 - 2017) with Full Information Maximum Likelihood Estimation (FIML).

Analyses for the evaluation were conducted with Hierarchical Linear Modeling (HLM), with full maximum likelihood estimation used for all models.

Models were estimated in Mplus with a Robust Maximum Likelihood estimation method (Satorra and Bentler 1994), to provide better estimations of standard errors when normality assumptions are violated.

This lack of differences and associated small effect sizes, the low rate of attrition, and our data analytic approach (full information maximum likelihood estimation), which permitted inclusion of cases with missing data, suggest that missing data likely had a limited impact on our findings.

Analyses were completed using SAS (version 9.1) mixed procedure and maximum likelihood estimation.

To examine whether dependent interpersonal stress (Time T - 1) mediated the relationship between perceived control and elevations in depressive symptoms (Time T), analyses were also carried out using SAS (version 9.1) mixed procedure and maximum likelihood estimation.

For all models, full maximum likelihood estimation was used.

The two hypothesized mediational models for both peers and friends were tested using robust maximum - likelihood estimation method in LISREL 8.54.

We conducted Structural Equation Modelling (SEM) with maximum likelihood estimation to test pathways / structural relationships between child abuse, poor mental health and sexual or physical IPV perpetration.

Maximum likelihood estimation was used to estimate the model parameters.