The Central Limit Theorems for the Multivariate Linear Processes Generated by Negatively Associated Random Vectors
Journal of the Korean Society of Mathematical Education Series B: Theoretical Mathematics and Pedagogical Mathematics / Journal of the Korean Society of Mathematical Education Series B: Theoretical Mathematics and Pedagogical Mathematics, (P)3059-0604; (E)3059-1309
2004, v.11 no.2, pp.139-147
Kim, Tae-Sung
Ko, Mi-Hwa
Ro, Hyeong-Hee
Kim,,
T.
, Ko,,
M.
, &
Ro,,
H.
(2004). The Central Limit Theorems for the Multivariate Linear Processes Generated by Negatively Associated Random Vectors, 11(2), 139-147.
Abstract
Let {<$\mathds{X}_t$} be an m-dimensional linear process of the form $\mathbb{X}_t\;=\sumA,\mathbb{Z}_{t-j}$ where {$\mathbb{Z}_t$} is a sequence of stationary m-dimensional negatively associated random vectors with $\mathbb{EZ}_t$ = $\mathbb{O}$ and $\mathbb{E}\parallel\mathbb{Z}_t\parallel^2$ < $\infty$. In this paper we prove the central limit theorems for multivariate linear processes generated by negatively associated random vectors.
- keywords
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negatively associated random vector,
multivariate linear process,
central limit theorem