Pages that link to "Item:Q1023685"

The following pages link to Likelihood analysis of the multivariate ordinal probit regression model for repeated ordinal responses (Q1023685):

Displaying 19 items.

• A composite likelihood inference in latent variable models for ordinal longitudinal responses (Q441817) (← links)
• Multivariate dynamic model for ordinal outcomes (Q943610) (← links)
• Repeated measures proportional odds logistic regression analysis of ordinal score data in the statistical software package R (Q961163) (← links)
• Fast estimation algorithm for likelihood-based analysis of repeated categorical responses (Q1010500) (← links)
• Analysis of ordered categorical data from repeated measurements assuming a quantitative latent variable (Q1099551) (← links)
• Sequential Monte Carlo EM for multivariate probit models (Q1623415) (← links)
• GEE for longitudinal ordinal data: comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN (Q1623578) (← links)
• Trend in correlated proportions (Q1821460) (← links)
• Multivariate ordinal regression models: an analysis of corporate credit ratings (Q2305032) (← links)
• A clipped latent variable model for spatially correlated ordered categorical data (Q2445652) (← links)
• Analysing ordinal longitudinal survey data: Generalised estimating equations approach (Q2739334) (← links)
• An approximate marginal logistic distribution for the analysis of longitudinal ordinal data (Q2805215) (← links)
• A mixed autoregressive probit model for ordinal longitudinal data (Q3303590) (← links)
• A probit model for multivariate random length ordinal data (Q4214011) (← links)
• Discretized and Aggregated: Modeling Dive Depth of Harbor Seals from Ordered Categorical Data with Temporal Autocorrelation (Q4649078) (← links)
• Parameter estimation approaches to tackling measurement error and multicollinearity in ordinal probit models (Q5077464) (← links)
• A Mixed‐Effects Regression Model for Longitudinal Multivariate Ordinal Data (Q5473234) (← links)
• A Generalized Estimating Equation Method for Fitting Autocorrelated Ordinal Score Data with an Application in Horticultural Research (Q5757853) (← links)
• A new mixed‐effects regression model for the analysis of zero‐modified hierarchical count data (Q6067310) (← links)