On Frequentist Properties of Some Hierachical Bayes Predictors for Small Domain Data in Repeated Surveys

  • Narinder K. Nangia (Trilogy Consulting Corporation, Waukegan, Illinois 60085, USA) ;
  • Kim, Dal-Ho (Department of Statistics, Kyungpook National University, Taegu, 702-701)
  • Published : 1997.06.01

Abstract

The paper shows that certain hierachical Bayes (HB) predictors for small domain data in repeated surveys "universally" or "stochastically" dominate all linear unbiased predictors. Also, the HB predictors are "best" within the class of all equivariant predictors under a certain group of transformations.tain group of transformations.

Keywords

References

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