Issues in smoothing empirical hazard rates.
Issues in smoothing empirical hazard rates.
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DOI：
10.2307/270950
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发表时间：
1989-01-01
影响因子：
3
通讯作者：
Wu, L L
中科院分区：
文献类型：
--
作者：
Wu, L L
本章提出了一个平滑估计的风险率使用可变跨度运行对数线性规范，允许调查人员保持只有温和的假设的功能形式的人口异质性和时间不均匀性率。 该估计量在探索性数据分析（EDA）和检查参数假设方面都很有用。 从美国女性向第一次婚姻过渡的数据中得出的例子表明，这些数据违反了几个常见的参数假设，并说明平滑的风险估计量可以产生重要的见解，而这些见解不容易从更传统的方法中获得。
This chapter presents a smooth estimator of the hazard rate using a variable-span running loglinear specification that allows investigators to maintain only mild assumptions about the functional forms of population heterogeneity and time inhomogeneity in the rate. This estimator is useful both in exploratory data analyses (EDA) and in checking parametric assumptions. Examples drawn from data on the transition to first marriage for women in the U.S. show that several common parametric assumptions are violated in these data and illustrate that the smoothed hazard estimator can yield important insights not easily obtained from more conventional methods.