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Original Articles

Information loss on the mean for spatial processes when some values are missing

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Pages 2169-2194 | Received 01 Dec 1990, Published online: 27 Jun 2007

References

  • Besag , J. 1974 . Spatial interaction and the statistical analysis of lattice systems . J. Roy. Statist. Soc , 36 ( B ) : 192 – 236 . with discussion
  • Haining , R. , Griffith , D. and Bennett , R. 1989 . Maximum likelihood estimation with missing spatial data and with an application to remotely sensed data . Commun. Statist. -Theory Meth , 18 ( B ) : 1875 – 1911 .
  • Krug , T. and Martin , R. J. 1990 . “ Efficient methods for coping with missing information in remotely sensed data ” . University of Sheffield . Research Report No. 371/90, Dept. of Probability and Statistics
  • Mardia , K. V. 1990 . “ Maximum likelihood estimation for spatial models ” . In Spatial Statistics: Past, Present and Future , Edited by: Griffith , D. A. 203 – 252 . Ann Arbor : Inst. Math. Geog .
  • Martin , R. J. 1979 . A subclass of lattice processes applied to a problem in planar sampling . Biometrika , 66 : 209 – 217 .
  • Martin , R. J. 1989 . Information loss due to incomplete data from a spatial Gaussian one-parameter first-order conditional process . Commun. Statist. -Theory Meth , 18 : 4631 – 4645 .
  • Martin , R. J. 1990 . “ The role of spatial statistical processes in geographic modelling ” . In Spatial Statistics: Past, Present and Future , Edited by: Griffith , D. A. 109 – 128 . Ann Arbor . Inst. Math. Geog
  • Ripley , B. D. 1981 . Spatial Statistics , New York : Wiley .

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