A continuous empirical Bayes smoothing technique Academic Article uri icon


  • SUMMARY: Maritz (1966) and Lemon & Krutchkoff (1969) each describe discrete empirical Bayes smoothing techniques. These techniques essentially attempt to approximate the prior distribution function. Here a continuous smoothing technique which is based on a smooth and continuous approximation to the prior density function is presented. Results from a Monte Carlo study of the Poisson distribution are reported which show that the continuous smoothing technique has desirable small-sample properties. Some comparisons with discrete smoothing techniques are also made. 1972 Oxford University Press.

published proceedings

  • Biometrika

author list (cited authors)

  • BENNETT, G. K., & MARTZ, H. F.

citation count

  • 17

complete list of authors


publication date

  • August 1972