The following pages link to Statistical Modelling (Q61733):
Displaying 50 items.
- Process modelling for contingency tables with ordered categories (Q4970955) (← links)
- Maximum likelihood estimation of mixed C-vines with application to exchange rates (Q4970956) (← links)
- A factor mixture analysis model for multivariate binary data (Q4970957) (← links)
- Bayesian adaptive Lasso quantile regression (Q4970958) (← links)
- Interventions in log-linear Poisson autoregression (Q4970959) (← links)
- Bayesian Tobit quantile regression model for medical expenditure panel survey data (Q4970960) (← links)
- Meta-analysis of diagnostic studies based upon SROC-curves: a mixed model approach using the Lehmann family (Q4970961) (← links)
- Functional prediction of intraday cumulative returns (Q4970962) (← links)
- The Cox shared frailty model with log-skew-normal frailties (Q4970963) (← links)
- A hitchhiker's view on spatial statistics and spatial econometrics for lattice data (Q4970965) (← links)
- Estimating the population prevalence and force of infection directly from antibody titres (Q4970966) (← links)
- Constrained ordination analysis in the presence of zero inflation (Q4970967) (← links)
- Modelling random effect variance with double hierarchical generalized linear models (Q4970968) (← links)
- Piecewise transition models with random effects for unequally spaced longitudinal measurements (Q4970970) (← links)
- Small area semiparametric additive monotone models (Q4970971) (← links)
- An application of Bayesian growth mixture modelling to estimate infection incidences from repeated serological tests (Q4970974) (← links)
- A flexible observed factor model with separate dynamics for the factor volatilities and their correlation matrix (Q4970975) (← links)
- Birnbaum–Saunders statistical modelling: a new approach (Q4970976) (← links)
- An overdispersion model in meta-analysis (Q4970977) (← links)
- Modelling of overall survival by an association between progression-free and post-progression survival using a conditional distribution (Q4970980) (← links)
- Editorial (Q4970981) (← links)
- Modelling multivariate, overdispersed binomial data with additive and multiplicative random effects (Q4970983) (← links)
- A parametric time series model with covariates for integers in Z (Q4970984) (← links)
- Regularization and model selection with categorical predictors and effect modifiers in generalized linear models (Q4970985) (← links)
- Optimal information in authentication of food and beverages (Q4970986) (← links)
- Local sensitivity to non-ignorability in joint models (Q4970987) (← links)
- A confusion index for measuring separation and clustering (Q4970989) (← links)
- Flexible mixture modelling with the polynomial Gaussian cluster-weighted model (Q4970990) (← links)
- Segmented mixed models with random changepoints: a maximum likelihood approach with application to treatment for depression study (Q4970992) (← links)
- Functional convolution models (Q4970994) (← links)
- A note on adjusted responses, fitted values and residuals in Generalized Linear Models (Q4970995) (← links)
- Sensitivity analysis and calibration of population size estimates obtained with the zero-truncated Poisson regression model (Q4970996) (← links)
- Modelling and coherent forecasting of zero-inflated count time series (Q4970997) (← links)
- A model for overdispersed hierarchical ordinal data (Q4970998) (← links)
- Quasi-periodic spatiotemporal models of brain activation in single-trial <scp>MEG</scp> experiments (Q4971000) (← links)
- A zero-inflated overdispersed hierarchical Poisson model (Q4971002) (← links)
- Erratum (Q4971003) (← links)
- Oral health research: A source for innovative new statistical developments (Q4971004) (← links)
- A Wald test for zero inflation and deflation for correlated count data from dental caries research (Q4971006) (← links)
- Robust estimation of marginal regression parameters in clustered data (Q4971008) (← links)
- A spatial augmented beta regression model for periodontal proportion data (Q4971010) (← links)
- Random forest and variable importance rankings for correlated survival data, with applications to tooth loss (Q4971011) (← links)
- Unobserved confounder effects in models for clustered dental failure time data (Q4971012) (← links)
- Guest Editorial (Q4971013) (← links)
- Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness (Q4971401) (← links)
- Variable selection in joint modelling of the mean and variance for hierarchical data (Q4971402) (← links)
- Simple analysis of non-Markov models: A case study on heart transplant data (Q4971404) (← links)
- State-space models for count time series with excess zeros (Q4971405) (← links)
- L- and V-curves for optimal smoothing (Q4971406) (← links)
- Editorial (Q4971407) (← links)
