Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Empirical Bayes Estimate for Mixed Model with Time Effect

  • Kim, Yong-Chul (School of Computer and Information Yongin University)
  • Published : 2002.08.01
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Abstract

In general, we use the hierarchical Poisson-gamma model for the Poisson data in generalized linear model. Time effect will be emphasized for the analysis of the observed data to be collected annually for the time period. An extended model with time effect for estimating the effect is proposed. In particularly, we discuss the Quasi likelihood function which is used to numerical approximation for the likelihood function of the parameter.

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References

  1. Biometrics v.37 A Variance Components Approach to Categorical Data Models With heterogeneous Mortality Rates in North Carolina Counties Manton, K.G.;Woodbury, M.A.;Stallard, E. https://doi.org/10.2307/2530416
  2. Biometrika v.74 An Extended Quasi-Likelihood Function Nelder, J.A.;Pregibon, D. https://doi.org/10.1093/biomet/74.2.221
  3. Journal of the Royal Statisty, tics SocieSeries A. v.135 Generalized Linear Models Nelder, J.A.;Wedderburn, R.W.M. https://doi.org/10.2307/2344614
  4. Journal of American Statistical Association v.83 Mixed Model for Analyzing Geographic Variability in Mortality Rates Tsutakawa, R.K. https://doi.org/10.2307/2288916
  5. The annals of Statistics v.11 no.1 Quasi-Likelihood Function Wedderburn, R.W.M. https://doi.org/10.1214/aos/1176346056