Academic Journal

On Gaussian triangular arrays in the case of strong dependence.

التفاصيل البيبلوغرافية
العنوان: On Gaussian triangular arrays in the case of strong dependence.
المؤلفون: Savinov, Evgeniy1 (AUTHOR) easavinov@fa.ru
المصدر: Extremes. Dec2024, Vol. 27 Issue 4, p557-570. 14p.
مصطلحات موضوعية: *GAUSSIAN distribution, EXTREME value theory, MIXTURES
مستخلص: We investigate the behavior of extreme values in Gaussian triangular arrays under strong dependence conditions. By extending previous results, we establish conditions for convergence to a mixture of Gaussian and Gumbel distributions without requiring stationarity. Our findings offer insights into the application of these models, particularly for analyzing air ozone concentrations. [ABSTRACT FROM AUTHOR]
Copyright of Extremes is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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