Technical Note—Variate Generation for Accelerated Life and Proportional Hazards Models
研究了在更新过程和非齐次泊松过程中，为加速寿命和比例风险模型生成随机变量的算法，是逆累积分布函数方法的简单扩展。
We use accelerated life and proportional hazards lifetime models to account for the effects of covariates on a random lifetime. We find that variate generation algorithms for Monte Carlo simulation in both the renewal and nonhomogeneous Poisson process cases are a simple extension of the inverse cumulative distribution function (cdf) technique.