Browsing by Subject "Missing data"
Now showing items 1-2 of 2
-
(2012-10-19)Storage and analysis of high-dimensional datasets are always challenging. Dimension reduction techniques are commonly used to reduce the complexity of the data and obtain the informative aspects of datasets. Principal ...
-
(2018-06-14)Missing data are very common in many areas such as sociology, biomedical sciences and clinical trials. Simply ignoring the incomplete cases may cause bias in estimation procedures. In this dissertation we investigate ...