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Small Area Estimation via Nonparametric Mixed Effects Model

  • Jeong, Seok-Oh (Department of Statistics, Hankuk University of Foreign Studies) ;
  • Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
  • Received : 2012.04.30
  • Accepted : 2012.06.04
  • Published : 2012.06.30

Abstract

Small area estimation is a statistical inference method to overcome the large variance due to the small sample size allocated in a small area. Recently some nonparametric estimators have been applied to small area estimation. In this study, we suggest a nonparametric mixed effect small area estimator using kernel smoothing and compare the small area estimators using labor statistics.

Keywords

References

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Cited by

  1. Semiparametric and Nonparametric Mixed Effects Models for Small Area Estimation vol.26, pp.1, 2013, https://doi.org/10.5351/KJAS.2013.26.1.071
  2. Generalized kernel estimating equation for panel estimation of small area unemployment rates vol.24, pp.6, 2013, https://doi.org/10.7465/jkdi.2013.24.6.1199