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A central limit theorem for general weighted sums of LPQD random variables and its application

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Abstract

central limit theorem for sum_{i=1}^n a_{ni}xi_i,where {a_{ni}, 1leq i leq n } is a triangular array of nonnegative numbers such thatsup_n sum_{i=1}^n a_{ni}^2<infty,max_{1leq i leq n} a_{ni}rightarrow 0text{as}n rightarrow inftyand xi_i^{'}s are a linearly positive quadrant dependent sequence. We also apply this resultto consider a central limit theorem fora partial sum of a generalized linear process of the form X_n=sum_{j=-infty}^infty a_{k+j}xi_j.

참고문헌 (9)

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  4. "Independent and StationarySequences of Random Variables", ers (1971)
  5. T. S. Kim, "A central limit theorem for stationary linear processesgenerated by linearly positive quadrant dependent process", 51(3), pp.299~305 (2001)
  6. "Some concepts of dependence", pp.1137~ (1966)
  7. "itInequalities in Statistics and Probability} Institute of Mathematical Statistics", pp.127~ (1984), IMSLecture Notes-Monogragh Series
  8. "Sums of Independent Random Variables" (1975)
  9. "Sums of Independent Random Variables" (1975)

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