Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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Partially Observed Data in Spatial Autologistic Models with Applications to Area Prediction in the Plane

  • Kim, Young-Won (Department of Statistics, Sookmyung Women's University) ;
  • Park, Eun-Ha (Department of Statistics, Sookmyung Women's University) ;
  • Sun Y. Hwang (Department of Statistics, Sookmyung Women's University)
  • Published : 1999.12.01
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Abstract

Autologistic lattice process is used to model binary spatial data. A conditional probability is derived for the incomplete data where the lattice consists of partially yet systematically observed sites. This result, which is interesting in its own right, is in turn applied to area prediction in the plane.

Keywords

References

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