New algorithms for M-estimation of multivariate scatter and location

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Dümbgen, Lutz, et al. “New Algorithms for M-Estimation of Multivariate Scatter and Location”. Journal of Multivariate Analysis, vol. 144, 2016, pp. 200-17, https://doi.org/10.1016/j.jmva.2015.11.009.
Dümbgen, L., Nordhausen, K., & Schuhmacher, H. (2016). New algorithms for M-estimation of multivariate scatter and location. Journal of Multivariate Analysis, 144, 200-217. https://doi.org/10.1016/j.jmva.2015.11.009
Dümbgen, Lutz, Klaus Nordhausen, and Heike Schuhmacher. “New Algorithms for M-Estimation of Multivariate Scatter and Location”. Journal of Multivariate Analysis 144 (2016): 200-217. https://doi.org/10.1016/j.jmva.2015.11.009.
Dümbgen L, Nordhausen K, Schuhmacher H. New algorithms for M-estimation of multivariate scatter and location. Journal of Multivariate Analysis. 2016;144:200-17.
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Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics7
Science: Mathematics7
Science: Biology (General)2
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
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Citations
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Approximating symmetrized estimators of scatter via balanced incomplete U-statistics Annals of the Institute of Statistical Mathematics
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 2023
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Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics8
Science: Mathematics8
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Social Sciences: Commerce: Business: Accounting. Bookkeeping2
Social Sciences: Finance2
Technology: Chemical technology1
Science: Chemistry: Analytical chemistry1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
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The category Science: Mathematics: Probabilities. Mathematical statistics 8 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Gini covariance matrix and its affine equivariant version and was published in 2016. The most recent citation comes from a 2023 study titled Approximating symmetrized estimators of scatter via balanced incomplete U-statistics. This article reached its peak citation in 2023, with 2 citations. It has been cited in 7 different journals, 14% of which are open access. Among related journals, the Journal of Multivariate Analysis cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year