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A central limit theorem for general weighted sum of LNQD random variables and its application

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Abstract

In this paper we derive the central limit theorem for Pn i=1 ani&raquo;i, where fani; 1 · i · ng is a triangular array of non-negative numbers such that supnPn i=1 a2 ni < 1; max1·i·n ani !0 as n ! 1 and &raquo;0 i s are a linearly negative quadrant depen-dent sequence. We also apply this result to consider a central limit theorem for a partial sum of a generalized linear process Xn = P1j=¡1 ak+j&raquo;j .

참고문헌 (7)

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  3. "Central limit theorems for associated random variablesand the percolation model", 12, pp.514~528 (1984)
  4. "A central limit theorem for stationary linear processesgenerated by linearly positive quadrant dependent process", 5, pp.299~305 (2001)
  5. "Some concepts of dependence", 37, pp.1137~1153 (1966)
  6. "Asymptotic independence and limit theorems for positively andnegatively dependent random variables", pp.127~140 (1984)
  7. "Normal uctuations and the FKG inequalities", 91, pp.75~80 (1980)

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