Pages that link to "Item:Q3713423"

The following pages link to Multilevel mixed linear model analysis using iterative generalized least squares (Q3713423):

Displaying 50 items.

• A Novel Bootstrap Procedure for Assessing the Relationship between Class Size and Achievement (Q76346) (← links)
• On normal theory based inference for multilevel models with distributional violations (Q463127) (← links)
• Biplot display for diagnostic in a two-level regression model for growth curve analysis (Q671663) (← links)
• Estimation of factor scores in a two-level confirmatory factor analysis model (Q672524) (← links)
• Checking the assumptions in mixed-model analysis of variance: a residual analysis approach (Q672527) (← links)
• Some mathematical models for deciding the number of examination questions on computerized adaptive tests (Q850244) (← links)
• Multivariate time series modeling, estimation and prediction of mortalities (Q896760) (← links)
• Detection of outliers in multilevel models (Q935451) (← links)
• Case deletion diagnostics in multilevel models (Q953848) (← links)
• A simulation study for a class of central composite designs with nested sub-experiment (Q964662) (← links)
• Describing the elephant: Structure and function in multivariate data (Q1091731) (← links)
• Efficient computational procedures for the estimation of parameters in multilevel models based on iterative generalised least squares (Q1186058) (← links)
• Marginal likelihood and Bayesian approaches to the analysis of heterogeneous residual variances in mixed linear Gaussian models (Q1330525) (← links)
• Algorithms for the likelihood-based estimation of the random coefficient model (Q1359785) (← links)
• A distribution free approach for analysis of two-level structural equation model (Q1361524) (← links)
• Logistic regression with random coefficients (Q1361548) (← links)
• Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models (Q1424598) (← links)
• A comparison of estimation methods for multilevel logistic models (Q1424625) (← links)
• Bayesian and likelihood methods for fitting multilevel models with complex level-1 variation. (Q1605374) (← links)
• Optimal fault detection design via iterative estimation methods for industrial control systems (Q1660890) (← links)
• Transformation approaches of linear random-effects models (Q1689491) (← links)
• Bottom-up estimation and top-down prediction: solar energy prediction combining information from multiple sources (Q1728637) (← links)
• Factor analysis for clustered observations (Q1803391) (← links)
• A comparison of modeling strategies for value-added analysis of education data (Q1855626) (← links)
• Inference for superpopulation parameters using sample surveys (Q1872594) (← links)
• Local influence in multilevel regression for growth curves (Q1888333) (← links)
• A general model for two-level data with responses missing at random (Q1897121) (← links)
• Parallel implementation of a multilevel modelling package (Q1978419) (← links)
• The role of conditional likelihoods in latent variable modeling (Q2088910) (← links)
• Generalized multilevel structural equation modeling (Q2259986) (← links)
• On Muthén's maximum likelihood for two-level covariance structure models (Q2260070) (← links)
• Modelling multilevel data under complex sampling designs: an empirical likelihood approach (Q2305303) (← links)
• Online estimation of individual-level effects using streaming shrinkage factors (Q2416768) (← links)
• Mixed model prediction and small area estimation. (With comments of P. Hall, D. Morales, C. N. Morris, J. N. K. Rao, and J. L. Eltinge) (Q2474776) (← links)
• A general model for the analysis of multilevel data (Q2639539) (← links)
• An Orthogonality-Based Estimation of Moments for Linear Mixed Models (Q3077795) (← links)
• Maximum Likelihood Estimation of Two-Level Latent Variable Models with Mixed Continuous and Polytomous Data (Q3078822) (← links)
• Streamlined mean field variational Bayes for longitudinal and multilevel data analysis (Q3188702) (← links)
• A New Approach for the<i>W</i>-Matrix (Q3350555) (← links)
• Iteratively reweighted least squares with random effects for maximum likelihood in generalized linear mixed effects models (Q3390328) (← links)
• Local influence in multilevel models (Q3526430) (← links)
• Bayesian modelling of the mean and covariance matrix in normal nonlinear models (Q3638594) (← links)
• A comparison of the random-effects pattern mixture model with last-observation-carried-forward(locf) analysis in longitudinal clinical trials with dropouts (Q4221313) (← links)
• OPTIMAL EXPERIMENTAL DESIGNS FOR MULTILEVEL MODELS WITH COVARIATES (Q4540576) (← links)
• (Q4623691) (← links)
• Empirical Bayes methods for disease mapping (Q4662794) (← links)
• Optimal Experimental Designs for Multilevel Logistic Models with Two Binary Predictors (Q4681072) (← links)
• A Comparison of Noniterative Generalized Least Squares and Iterative Maximum Likelihood Estimators When Testing Hypotheses in Random Coefficient Growth Curve Models (Q4707008) (← links)
• The em algorithm for the quasi-likelihood regression model (Q4883456) (← links)
• Estimation in generalised linear mixed models with binary outcomes by simulated maximum likelihood (Q4970698) (← links)