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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 7

Zeitschriftenartikel

Razzak, Humera und Heumann, Christian (2021): A Hybrid Technique for the Multiple Imputation of Survey Data. In: Journal of Official Statistics, Bd. 37, Nr. 2: S. 505-531

Razzak, Humera und Heumann, Christian (2020): The Ability of Different Imputation Methods to Capture Complex Dependencies in High Dimensions. In: Romanian Statistical Review, Nr. 1: S. 55-75

Razzak, Humera und Heumann, Christian (2020): Application of iterative hybrid MI approach to household survey data with complex dependence structures. In: Communications in Statistics : Simulation and Computation

Paper

Razzak, Humera und Heumann, Christian (7. Januar 2020): A hybrid technique for the multiple imputation of survey data. Department of Statistics: Technical Reports, Nr. 229 [PDF, 2MB]

Razzak, Humera und Heumann, Christian (7. Januar 2020): Application of Iterative Hybrid MI Approach to Household Survey Data with Complex Dependency Structures. Department of Statistics: Technical Reports, Nr. 231 [PDF, 1MB]

Razzak, Humera und Heumann, Christian (7. Januar 2020): The ability of different imputation methods to capture complex dependencies in high dimensions. Department of Statistics: Technical Reports, Nr. 230 [PDF, 1MB]

Razzak, Humera und Heumann, Christian (3. Dezember 2019): Predictive performance of a hybrid technique for the multiple imputation of survey data. Department of Statistics: Technical Reports, Nr. 228 [PDF, 818kB]

Diese Liste wurde am Sat Dec 21 21:43:30 2024 CET erstellt.