Discount Survival Models for No Covariate Case

  • Joo Yong Shim (Department of Statistics, Kyungpook National University, Taegu, 702-701, Korea)
  • Published : 1997.08.01


For the survival data analysis of no covariate the discount survival model is proposed to estimate the time-varying hazard rate and the survival function recursively. In comparison with the covariate case it provide the distributionally explicit evolution of hazard rate between time intervals under the assumption of a conjugate gamma distribution. Also forecasting of the hazard rate in the next time interval is suggested, which leads to the forcecasted survival function.



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