Asymptotic Extremal Distribution for Non-Stationary, Strongly-Dependent Data

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Crisci, Carolina, and Gonzalo Perera. “Asymptotic Extremal Distribution for Non-Stationary, Strongly-Dependent Data”. Advances in Pure Mathematics, vol. 12, no. 08, 2022, pp. 479-8, https://doi.org/10.4236/apm.2022.128036.
Crisci, C., & Perera, G. (2022). Asymptotic Extremal Distribution for Non-Stationary, Strongly-Dependent Data. Advances in Pure Mathematics, 12(08), 479-489. https://doi.org/10.4236/apm.2022.128036
Crisci C, Perera G. Asymptotic Extremal Distribution for Non-Stationary, Strongly-Dependent Data. Advances in Pure Mathematics. 2022;12(08):479-8.
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Citations Analysis
The first research to cite this article was titled Estimating the Components of a Mixture of Extremal Distributions under Strong Dependence and was published in 2023. The most recent citation comes from a 2023 study titled Estimating the Components of a Mixture of Extremal Distributions under Strong Dependence. This article reached its peak citation in 2023, with 3 citations. It has been cited in 2 different journals. Among related journals, the Advances in Pure Mathematics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
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