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: The Pure and Applied Mathematics / Journal of the Korean Society of Mathematical Education Series B: The Pure and Applied Mathematics, (P)1226-0657; (E)2287-6081
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. Journal of the Korean Society of Mathematical Education Series B: The Pure and Applied Mathematics, 11(2), 139-147.
Abstract
Let {<<TEX>$\mathds{X}_t$</TEX>} be an m-dimensional linear process of the form <TEX>$\mathbb{X}_t\;=\sumA,\mathbb{Z}_{t-j}$</TEX> where {<TEX>$\mathbb{Z}_t$</TEX>} is a sequence of stationary m-dimensional negatively associated random vectors with <TEX>$\mathbb{EZ}_t$</TEX> = <TEX>$\mathbb{O}$</TEX> and <TEX>$\mathbb{E}\parallel\mathbb{Z}_t\parallel^2$</TEX> < <TEX>$\infty$</TEX>. 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