Let{Xt}be an m-dimensional linear process of the form (equation omitted), where{Zt}is a sequence of stationary m-dimensional weakly associated random vectors with EZt = O and E∥Zt∥$^2$<$\infty$. We Prove central limit theorems for mul...
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https://www.riss.kr/link?id=A100762824
Kim, Tae-Sung (Division of Mathematics and Informational Statistics and Institute of Basic Natural Science, Wonkwang University) ; Ko, Mi-Hwa (Statistical Research Center for Complex System, Seoul National University)
2003
English
SCIE,SCOPUS
학술저널
11-20(10쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
Let{Xt}be an m-dimensional linear process of the form (equation omitted), where{Zt}is a sequence of stationary m-dimensional weakly associated random vectors with EZt = O and E∥Zt∥$^2$<$\infty$. We Prove central limit theorems for mul...
Let{Xt}be an m-dimensional linear process of the form (equation omitted), where{Zt}is a sequence of stationary m-dimensional weakly associated random vectors with EZt = O and E∥Zt∥$^2$<$\infty$. We Prove central limit theorems for multivariate linear processes generated by weakly associated random vectors. Our results also imply a functional central limit theorem.
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