Aleksić, D.G. (2026). U- and V- statistics for
incomplete data and their application to model specification testing
(Doctoral dissertation) (U- и V- статистике за некомплетне податке и
њихова примена у тестирању сагласности са моделом (докторска
дисертација)). University of Belgrade, Faculty of Mathematics,
Belgrade, Serbia.
http://elibrary.matf.bg.ac.rs/bitstream/handle/123456789/5781/DanijelAleksicPhDThesis.pdf?sequence=1
Алексић, Д. (2022). Проблем недостајућих
података: утицај на статистичко закључивање (мастер рад).
Универзитет у Београду, Математички факултет, Београд,
Србија.
http://elibrary.matf.bg.ac.rs/bitstream/handle/123456789/5465/DanijelAleksicMaster.pdf
Aleksić D.G., & Milošević, B. (2024). To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test. Journal of Applied Statistics 52(9), 1742–1759. [M22] IF2023=1.2 https://doi.org/10.1080/02664763.2024.2438798
Aleksić, D. (2024). A novel test of missing completely at random: U-statistics-based approach. Statistics, 58(4), p. 1004–1023. [M22] IF2023=1.2 https://doi.org/10.1080/02331888.2024.2386361
Aleksić D., Cuparić M., & Milošević, B. (2023). Non-degenerate U-statistics for data missing completely at random with application to testing independence. Stat 12(1), e634. [M21] IF2021=2.451 https://doi.org/10.1002/sta4.634
Aleksić, D. (2025). A generalization of a U-statistics-based MCAR Test: Utilizing Partially Observed Variables. https://arxiv.org/pdf/2501.05596
Aleksić, D.G., Milošević, B. (2025). Two-Sample Testing with Missing Data via Energy Distance: Weighting and Imputation Approaches. https://arxiv.org/pdf/2508.11421