Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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A Central Limit Theorem for Linearly Positive Quadrant Dependent Random Fields

  • Hyun-Chull Kim (Department of Mathemtics, Daebul Institute of Science and Technology, Young Am(526-890), KOREA)
  • Published : 1995.12.01
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Abstract

In this note, we obtain the central limit theorem for linearly positive quadrant dependent random fields satisfying some assumptions on the covariances and the moment condition $supE\mid X_i\mid^3\;<{\infty}$ The proofs are similar to those of a central limit theorem for associated random field of Cox and Grimmett.

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References

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