Pages that link to "Item:Q288990"

The following pages link to Using generalized Procrustes analysis for multiple imputation in principal component analysis (Q288990):

Displaying 7 items.

• Post-processing of Markov chain Monte Carlo output in Bayesian latent variable models with application to multidimensional scaling (Q722742) (← links)
• Multiple imputation in principal component analysis (Q1761307) (← links)
• Comparisons among several methods for handling missing data in principal component analysis (PCA) (Q1999456) (← links)
• Constructing bootstrap confidence intervals for principal component loadings in the presence of missing data: A multiple‐imputation approach (Q4561348) (← links)
• Evaluation of multiple-imputation procedures for three-mode component models (Q5106990) (← links)
• Missing data in principal component analysis of questionnaire data: a comparison of methods (Q5219493) (← links)
• GPAbin: unifying visualizations of multiple imputations for missing values (Q6172625) (← links)