Journal of the Korean Statistical Society

  • 제28권2호
  • /
  • Pages.195-210
  • /
  • 1999
  • /
  • 1226-3192(pISSN)
  • /
  • 2005-2863(eISSN)
한국통계학회 (The Korean Statistical Society)
권호 표지

Estimating Methods on Exponential Regression Models with Censored Data

  • Ha, Il-Do (Department of Statistics, Kyungsan University) ;
  • Lee, Youngjo (Department of Statistics, Seoul National University) ;
  • Song, Jae-Kee (Department of Statistics, Kyungpook National University)
  • 발행 : 1999.06.01
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초록

We consider a large class of exponential regression models with censored data and propose two modified Fisher scoring methods with corresponding algorithms. These proposed methods improve the Newton-Raphson method in estimating the model parameters. The simulated and real examples are illustrated in aspect of convergence.

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참고문헌

  1. Biometrika v.66 Linear regression with censored data Buckley, J.;James, I.
  2. Journal of the American Statistical Association v.62 Exponential survival with covariance Glasser, M.
  3. Biometrics v.30 Selecting concomitant variables using a likelihood ratio step-down procedure and a method of testing goodness of fit of an exponential survival model Greenberg, R.;Bayard, S.;Byar, D.
  4. Biometrics v.31 A step-up procedure for selecting variables associated with survival Krall, J.;Uthoff, V.;Harley, J.
  5. Statistical models and methods for life time data Lawless, J. F.
  6. Biometrika v.73 Longitudinal data analysis using generalized linear models Liang, K. Y.;Zeger, S. L.
  7. Journal of the American Statistical Association v.66 Problems of convergence of maximum likelihood iterative procedures in multiparameter situations Mantel, N.;Myers, M.
  8. Generalized linear models(2nd ed.) McCullagh, P.;Nelder, J. A.
  9. Journal of the Royal Statistical Society v.A 135 Generalized linear models Nelder, J. A.;Wedderburn, R. W. M.
  10. Biometrika v.60 Exponential survuval with censoring and explanatory variables Prentice, R. L.
  11. Biometrika v.61 Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method Wedderburn, R. W. M.
  12. Biometrics v.22 Use of concomitant variables and incomplete survival information in the estimation of an exponential survival parameter Zippen, C.;Armitage, P.