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Veröffentlichungsdatum
Anzahl der Publikationen: 7
2021
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
2020
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
(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
2019
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]