Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1354
Title: Non-degenerate U-statistics for data missing completely at random with application to testing independence
Authors: Aleksić, Danijel
Cuparić, Marija 
Milošević, Bojana 
Affiliations: Probability and Mathematical Statistics 
Probability and Mathematical Statistics 
Keywords: Kendall coefficient;MCAR data;median imputation
Issue Date: 1-Jan-2023
Rank: M21
Publisher: Willey
Journal: Stat
Abstract: 
Although the era of digitalization has enabled access to large quantities of data, due to their insufficient structuring, some data are often missing, and sometimes, the percentage of missing data is significant compared to the entire sample. On the other hand, most of the statistical methodology is designed for complete data. Here, we explore the asymptotic properties of non-degenerate U-statisti...
Description: 
"This is the peer reviewed version of the following article: 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. https://doi.org/10.1002/sta4.634, which has been published in final form at 10.1002/sta4.634. This article may ...
URI: https://research.matf.bg.ac.rs/handle/123456789/1354
DOI: 10.1002/sta4.634
Rights: Attribution-NonCommercial-NoDerivs 3.0 United States
Appears in Collections:Research outputs

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