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 |
Files in This Item:
File | Description | Size | Format | |
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Stat - 2023 - Aleksić - Non‐degenerate U‐statistics for data missing completely at random with application to testing.pdf | 1.24 MB | Adobe PDF | View/Open |
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