The following pages link to published in (P200):
Displaying 50 items.
- Enumeration Index Performance in Generalized Growth Mixture Models: A Monte Carlo Test of Muthén’s (2003) Hypothesis (Q159986) (← links)
- Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters (Q159989) (← links)
- A Comparison of Factor Score Estimation Methods in the Presence of Missing Data: Reliability and an Application to Nicotine Dependence (Q159992) (← links)
- The estimation of factor scores and Kalman filtering for discrete parameter stationary processes (Q159996) (← links)
- The Psychometric Latent Agreement Model (PLAM) for Discrete Latent Variables Measured by Multiple Items (Q159998) (← links)
- The Measurement of Observer Agreement for Categorical Data (Q160001) (← links)
- Modeling Nonlinear Change via Latent Change and Latent Acceleration Frameworks: Examining Velocity and Acceleration of Growth Trajectories (Q160006) (← links)
- Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces (Q160011) (← links)
- Fitting Nonlinear Latent Growth Curve Models With Individually Varying Time Points (Q160013) (← links)
- Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions. (Q160015) (← links)
- Structured Latent Curve Models for the Study of Change in Multivariate Repeated Measures. (Q160017) (← links)
- Assessing mediational processes using piecewise linear growth curve models with individual measurement occasions (Q160018) (← links)
- Investigation of Mediational Processes Using Parallel Process Latent Growth Curve Modeling (Q160022) (← links)
- Mediation Analysis in a Latent Growth Curve Modeling Framework (Q160025) (← links)
- Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates. (Q160026) (← links)
- Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions. (Q160027) (← links)
- Enhancing scatterplots with smoothed densities (Q160036) (← links)
- DDCAL: Evenly Distributing Data into Low Variance Clusters Based on Iterative Feature Scaling (Q160039) (← links)
- Probabilistic Reconciliation of Hierarchical Forecast via Bayes’ Rule (Q160066) (← links)
- Efficient probabilistic reconciliation of forecasts for real-valued and count time series (Q160068) (← links)
- An Introduction to Correspondence Analysis (Q160076) (← links)
- NONMEM Tutorial Part I: Description of Commands and Options, With Simple Examples of Population Analysis (Q160080) (← links)
- Methodological considerations for estimating policy effects in the context of co-occurring policies (Q160094) (← links)
- Moving beyond the classic difference-in-differences model: a simulation study comparing statistical methods for estimating effectiveness of state-level policies (Q160099) (← links)
- Semiparametric Factor Analysis for Item-Level Response Time Data (Q160109) (← links)
- Value of Information Analysis in Models to Inform Health Policy (Q160118) (← links)
- Overcoming biases in causal inference of molecular interactions (Q160154) (← links)
- Detecting spatial clusters in functional data: New scan statistic approaches (Q160171) (← links)
- A Wilcoxon-Mann-Whitney spatial scan statistic for functional data (Q160174) (← links)
- Investigating spatial scan statistics for multivariate functional data (Q160176) (← links)
- New Efficient and Practicable Adaptive Designs for Calibrating Items Online (Q160188) (← links)
- An exchange algorithm for optimal calibration of items in computerized achievement tests (Q160189) (← links)
- The Rational SPDE Approach for Gaussian Random Fields With General Smoothness (Q160195) (← links)
- Accurate estimation of influenza epidemics using Google search data via ARGO (Q160212) (← links)
- Accurate regional influenza epidemics tracking using Internet search data (Q160213) (← links)
- Use Internet search data to accurately track state level influenza epidemics (Q160214) (← links)
- Silhouettes: A graphical aid to the interpretation and validation of cluster analysis (Q160221) (← links)
- Hierarchical Clustering for Boxplot Variables (Q160225) (← links)
- Finding generators for Markov chains via empirical transition matrices, with applications to credit ratings (Q160231) (← links)
- Statistical Inference for Discretely Observed Markov Jump Processes (Q160234) (← links)
- Group SLOPE – Adaptive Selection of Groups of Predictors (Q160240) (← links)
- Testing For and Dating Common Breaks in Multivariate Time Series (Q160253) (← links)
- Memetic Algorithms for Continuous Optimisation Based on Local Search Chains (Q160265) (← links)
- Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains (Q160267) (← links)
- Memetic Algorithms with Local Search Chains in R: The Rmalschains Package (Q160269) (← links)
- Clustering multivariate functional data in group-specific functional subspaces (Q160298) (← links)
- Robust Bounded-Influence Tests in General Parametric Models (Q160314) (← links)
- Empirical likelihood for the analysis of experimental designs (Q160318) (← links)
- Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis (Q160339) (← links)
- An Algebraic Process for Visualization Design (Q160343) (← links)
