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Limit Theorems for Bivariate Generalised Order Statistics in Stationary Gaussian Sequences with Random Sample Sizes Cover

Limit Theorems for Bivariate Generalised Order Statistics in Stationary Gaussian Sequences with Random Sample Sizes

Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences.
Volume 73 (2019): Issue 6 (December 2019)
By: Fatma Hashem Essawe,  Mohamed Abd Elgawad,  Haroon Mohamed Barakat and  Hui Zhao  
Open Access
|Dec 2019

Authors

Fatma Hashem Essawe

School of Mathematics and Statistics, Central China Normal University, Wuhan, China
Faculty of Applied Science, Red Sea University, Sudan

Mohamed Abd Elgawad

mohamed.abdelgwad@fsc.bu.edu.eg

Faculty of Science, Benha University, Egypt

Haroon Mohamed Barakat

Faculty of Science, Zagazig University, Egypt

Hui Zhao

School of Mathematics and Statistics, Central China Normal University, Wuhan, China
DOI: https://doi.org/10.2478/prolas-2019-0080 | Journal eISSN: 2255-890X | Journal ISSN: 1407-009X
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Language: English
Page range: 525 - 532
Submitted on: Dec 12, 2018
Accepted on: Jul 23, 2019
Published on: Dec 26, 2019
Published by: Latvian Academy of Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
Gaussian sequences,
weak convergence,
random indices,
generalised order statistics,
bivariate generalised order statistics,
generalised quasi-range
Related subjects:
General interest,
Mathematics,
General mathematics

© 2019 Fatma Hashem Essawe, Mohamed Abd Elgawad, Haroon Mohamed Barakat, Hui Zhao, published by Latvian Academy of Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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