Pages that link to "Item:Q1092561"
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The following pages link to Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients (Q1092561):
Displaying 50 items.
- On polychoric and polyserial partial correlation coefficients: a Bayesian approach (Q478483) (← links)
- Estimating the polyserial correlation coefficient (Q676468) (← links)
- Technical aspects of Muthén's LISCOMP approach to estimation of latent variable relations with a comprehensive measurement model (Q676545) (← links)
- On composite marginal likelihoods (Q732228) (← links)
- The polyserial correlation coefficient (Q792043) (← links)
- Maximum pairwise pseudo-likelihood estimation of the covariance matrix from left-censored data (Q894838) (← links)
- A new algorithm for estimating the parameters and their asymptotic covariance in correlation and association models (Q956839) (← links)
- Assessing multivariate predictors of financial market movements: A latent factor framework for ordinal data (Q1018618) (← links)
- Generalized least squares and maximum likelihood estimations of multivariate polychoric correlations (Q1096993) (← links)
- Maximum-likelihood estimation of a multivariate Gaussian rating model with excluded data (Q1193377) (← links)
- Structural equation models with continuous and polytomous variables (Q1205770) (← links)
- Full maximum likelihood analysis of structural equation models with polytomous variables (Q1263196) (← links)
- Distributional aspects in latent variable models (Q1342784) (← links)
- Estimation in the polytomous logistic regression model (Q1344185) (← links)
- Analysis of square tables with ordered categories (Q1351896) (← links)
- Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence (Q1728656) (← links)
- Analysis of structural equation models with interval and polytomous data (Q1802437) (← links)
- On the estimation of polychoric correlations and their asymptotic covariance matrix (Q1901351) (← links)
- Pairwise likelihood estimation for factor analysis models with ordinal data (Q1927206) (← links)
- Estimation of a multiplicative correlation structure in the large dimensional case (Q2190234) (← links)
- Covariance structure analysis of ordinal ipsative data (Q2248668) (← links)
- Influence analysis of structural equation models with polytomous variables (Q2250687) (← links)
- Limited information estimation and testing of discretized multivariate normal structural models (Q2260953) (← links)
- A mixture latent variable model for modeling mixed data in heterogeneous populations and its applications (Q2316723) (← links)
- Pairwise likelihood ratio tests and model selection criteria for structural equation models with ordinal variables (Q2364850) (← links)
- Covariance structural analysis with polytomous variables in several populations (Q2367935) (← links)
- Maximum likelihood estimation for ordered expectations of correlated binary variables (Q2392703) (← links)
- General location model with factor analyzer covariance matrix structure and its applications (Q2418329) (← links)
- Prediction of Euclidean distances with discrete and continuous outcomes (Q2507747) (← links)
- A polychoric instrumental variable (PIV) estimator for structural equation models with categorical variables (Q2517876) (← links)
- Pairwise likelihood approach to grouped continuous model and its extension (Q2575556) (← links)
- A Bayesian random effects model for analyzing mixed negative binomial and continuous longitudinal responses (Q2811440) (← links)
- Ridge structural equation modelling with correlation matrices for ordinal and continuous data (Q3018639) (← links)
- Analysis of structural equation models with Incomplete Polytomous Data (Q3135577) (← links)
- Estimation of polychoric correlation with elliptical latent variables (Q3350519) (← links)
- General mixed-data model: Extension of general location and grouped continuous models (Q3512632) (← links)
- Two-step estimation of multivariate polychoric correlation (Q3749953) (← links)
- Estimating the Mahalanobis Distance from Mixed Continuous and Discrete Data (Q4667458) (← links)
- Gaussian copula joint models to analysis mixed correlated longitudinal count and continuous responses (Q5079150) (← links)
- Classification with discrete and continuous variables via general mixed-data models (Q5124821) (← links)
- Bayesian latent variable model for mixed continuous and ordinal responses with possibility of missing responses (Q5124832) (← links)
- Sensitivity analysis for the identifiability with application to latent random effect model for the mixed data (Q5130564) (← links)
- Gaussian copula distributions for mixed data, with application in discrimination (Q5222430) (← links)
- Letter to the Editor (Q5410276) (← links)
- Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles (Q5492080) (← links)
- Analysis of multivariate polychoric correlation models with incomplete data (Q5750287) (← links)
- General location multivariate latent variable models for mixed correlated bounded continuous, ordinal, and nominal responses with non-ignorable missing data (Q5861563) (← links)
- Gaussian copula joint models for mixed longitudinal zero-inflated count and continuous responses (Q6552987) (← links)
- Mixed-type multivariate response regression with covariance estimation (Q6628582) (← links)
- Analysis of two-part random effects model for semi-ordinal longitudinal response. Abbreviated title: semi-ordinal random effects model (Q6635374) (← links)