Pengkajian metode User-Input-Free Density-Based Clustering (UIFDBC) pada data dengan missing values dan penerapannya pada data real = Assessment of the User-Input-Free Density-Based Clustering (UIFDBC) method on data with missing values and its application to real data

Aplikasi metode bicluster-based robust least square estimation dengan principal components pada imputasi missing value data ekspresi gen = Missing value imputation for microarray data using bicluster-based robust least squares estimation with principal components

Missing data : analysis and design

Analisis Reduksi Komponen Uji Klinis Dan Imputasi Missing Value pada Data Uji Klinis Menggunakan Metode Principal Component Analysis (PCA) pada Studi Kasus Demensia = Analysis of Clinical Trial Component Reduction and Missing Value Imputation in Clinical Trial Data Using Principal Component Analysis (PCA) Method in Dementia Case Study

Analisis imputasi missing value menggunakan fractional hot deck pada data numerik = Missing value analysis of numerical data using fractional hot deck imputation