Principal component analysis with interval imputed missing values
β Scribed by Paola Zuccolotto
- Publisher
- Springer-Verlag
- Year
- 2011
- Tongue
- English
- Weight
- 850 KB
- Volume
- 96
- Category
- Article
- ISSN
- 1863-8171
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π SIMILAR VOLUMES
Glivenko-Cantelli-type results will be derived for the performance of the empirical distribution function under imputation of the missing data in the univariate case, when there are no auxiliary covariates. According to these results, both random imputation and the adjusted random imputation produce
Data from 383 Japanese patients with systemic lupus erythematosus (SLE), collected by the schedule method, were analyzed by the principal component analysis. The new method, "combination of variates," reduced the number of missing data. Quantitative indices u&o1 in evaluating the clinical status of