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A Functional Central Limit Theorem for the Multivariate Linear Process Generated by Negatively Associated Random Vectors

  • Kim, Tae-Sung;Seo, Hye-Young
    • Communications for Statistical Applications and Methods
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    • 제8권3호
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    • pp.615-623
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    • 2001
  • A functional central limit theorem is obtained for a stationary multivariate linear process of the form (no abstract. see full-text) where{ $Z_{t}$} is a sequence of strictly stationary m-dimensional negatively associated random vectors with E $Z_{t}$=O and E∥ $Z_{t}$$^2$<$\infty$ and { $A_{u}$} is a sequence of coefficient matrices with (no abstract. see full-text) and (no abstract. see full-text).text).).

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