Multiple imputation in principal component analysis
Year of publication: |
2011
|
---|---|
Authors: | Josse, Julie ; Pagès, Jérôme ; Husson, François |
Published in: |
Advances in Data Analysis and Classification. - Springer. - Vol. 5.2011, 3, p. 231-246
|
Publisher: |
Springer |
Subject: | Principal component analysis | Missing values | EM algorithm | Multiple imputation | Bootstrap | Procrustes rotation |
-
A bayesian approach to parameter estimation in the presence of spatial missing data
Panzera, Domenica, (2016)
-
Should a Normal Imputation Model be Modified to Impute Skewed Variables?
Hippel, Paul T. von, (2013)
-
The Bias and Efficiency of Incomplete-Data Estimators in Small Univariate Normal Samples
Hippel, Paul T. von, (2013)
- More ...
-
Josse, Julie, (2012)
-
Handling Missing Values with Regularized Iterative Multiple Correspondence Analysis
Josse, Julie, (2012)
-
FactoMineR: An R Package for Multivariate Analysis
Lê, Sébastien, (2008)
- More ...