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

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成果类型:
期刊论文
作者:
Fatma Hashem Essawe;Mohamed Abd Elgawad;Haroon Mohamed Barakat;Hui Zhao
通讯作者:
Elgawad, M.A.
作者机构:
[Mohamed Abd Elgawad] Faculty of Science , Benha University 13518 , Egypt
[Hui Zhao] School of Mathematics and Statistics , Central China Normal University , Wuhan 430079 , China
Faculty of Applied Science , Red Sea University , Sudan
[Haroon Mohamed Barakat] Faculty of Science , Zagazig University 44519 , Egypt
[Fatma Hashem Essawe] School of Mathematics and Statistics , Central China Normal University , Wuhan 430079 , China<&wdkj&>Faculty of Applied Science , Red Sea University , Sudan
通讯机构:
Faculty of Science, Benha University, Egypt
语种:
英文
关键词:
Bivariate generalised order statistics;Gaussian sequences;Generalised order statistics;Generalised quasi-range;Random indices;Weak convergence
期刊:
Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences.
ISSN:
1407-009X
年:
2020
卷:
73
期:
6
页码:
525-532
机构署名:
本校为第一机构
院系归属:
数学与统计学学院
摘要:
Abstract In this paper, we study the limit distribution functions of the (lower-lower), (upper-upper) and (lower-upper) extreme and central-central m-generalised order statistics (m–GOS) of stationary Gaussian sequences under an equi-correlated set up, when the random sample size is assumed to converge weakly and independent of the basic variables. Moreover, sufficient conditions for a weak convergence of generalised quasi-range with random indices are obtained.

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