응용통계연구 (The Korean Journal of Applied Statistics)

  • 제11권2호
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  • Pages.247-255
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  • 1998
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  • 1225-066X(pISSN)
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  • 2383-5818(eISSN)
한국통계학회 (The Korean Statistical Society)
권호 표지

포아송 모형에서의 설명변수 선택문제 - 정규분포 설명변수하에서 -

Subset Selection in the Poisson Models - A Normal Predictors case -

  • 발행 : 1998.09.01
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초록

일반선형 모형의 하나인 포아송모형에서 설명변수들을 선택하는 문제를 고려하여 보았다 설명변수들이 정규분포를 따르는 확률변수일 때 반응변수의 조건부 분포를 통하여 모형에 필요한 설명변수의 부분집합을 선택하는 방범을 제시하였다.

In this paper, a new subset selection problem in the Poisson model is considered under the normal predictors. It turns out that the subset model has bigger valiance than that of the Poisson model with random predictors and this has been used to derive new subset selection method similar to Mallows'$C_p$.

키워드

참고문헌

  1. Biometrics v.45 Best subsets logistic regression Hosmer, D. W.;Jovanovic, B.;Lemeshow, S.
  2. Technometrics v.15 Some comments on $C_p$ Mallows, C. L.
  3. Annals of Statistics v.11 Quasi-likelihood functions McCullagh, P.
  4. Generalized Linear Models(2nd ed.) McCullagh, P.;Nelder, J. A.
  5. Journal of the Royal Statistical Society. Series A. v.135 Generalized linear models Nelder, J. A.;Wedderburn, R. W. M.
  6. Topics in Generalized Linear Models Park, C. S.
  7. Lisp-Stat : An Object-oriented Environment for Statistical Computing and Dynamic Graphics Tierney, L.
  8. Technical report No. 557. University of Minnesota Generalized Linear Models in Lisp-Stat Tierney, L.
  9. Biometrika v.61 Quasilikelihood functions, generalized linear models and the Gauss-Newton method Wedderburn, R. W. M.
  10. Applied Statistics v.36 Generalized linear model diagnostics using the deviance and single-case deletions Williams, D. A.