Journal of the Korean Data and Information Science Society

  • 제4권
  • /
  • Pages.13-30
  • /
  • 1993
  • /
  • 1598-9402(pISSN)
한국데이터정보과학회 (The Korean Data and Information Science Society)
권호 표지

중도절단(中途切斷)된 데이터를 이용한 와이블회귀모형(回歸模型)의 통계적(統計的) 추론(推論)에 관한 연구(硏究)

Statistical Inferences in the Weibull Regression Model based on Censored Data

  • Cho, Kil-Ho (Department of Statistics, Kyungpook National University)
  • 발행 : 1993.06.25
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초록

We propose the ordered least squares estimators(OLSE's) of the parameters and the p-th quantiles for the two-parameter Weibull regression model under the Type II censoring, The Monte Carlo simulations are performed to compare the proposed estimators with the maximum likelihood estimators(MLE's), and it is shown that the proposed estimators are slightly better than MLE's as the censoring rate goes up.

키워드

참고문헌

  1. The Statistical Analysis of Failure Time Data Kalbfleish, J.D.;Prentice, R.I.
  2. Statistical Models and Methods for Lifetime Data Lawless, J.F.
  3. Annals of Mathematical Statistics v.24 On the Exact Evaluation of the Variance and Covariance of Order Statistics in Sample from the Extrem Value Distribution Lieblein, J.
  4. Communications in Statistics- Theory and Method v.A7 Calculation of Small-sample Weibull Tolerance Bounds for Accelerated Testing Mann, N.R.
  5. IEEE Transaction on Reliability v.R21 Graphical Analysis of Accelerated Life test Data with the Inverse Power Law Model Nelson, W.B.
  6. Techometrics v.14 Linear Estimation of a Regression Reliationship from Censored Data, PartI - Simple Method and their Applications Nelson, W.E.;Hahn, G.J.
  7. Biometrics v.29 Weibull Distributions for Continuous Carcinogenesis Experiments Peto, R.;Lee, P.
  8. Biometrics v.22 A Method of analysis of fa Certain Class of Experiments in Carcinogenesis Pike, M.C.
  9. Utilitas Mathematics v.8 Regression Analysis of Weibull Data and the Analysis of Clinical Trials Prentice, R.L.;Shillingtone, R.
  10. Biometrics v.34 Efficient Analysis of Weibull Survival Data from Experiments on Heterogeneous Patient Populations Williams, J.S.