Journal of Korean Society for Quality Management (품질경영학회지)
- Volume 24 Issue 1
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- Pages.32-43
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- 1996
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- 1229-1889(pISSN)
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- 2287-9005(eISSN)
Additive Regression Models for Censored Data
중도절단된 자료에 대한 가법회귀모형
Abstract
In this paper we develop nonparametric methods for regression analysis when the response variable is subject to censoring that arises naturally in quality engineering. This development is based on a general missing information principle that enables us to apply, via an iterative scheme, nonparametric regression techniques for complete data to iteratively reconstructed data from a given sample with censored observations. In particular, additive regression models are extended to right-censored data. This nonparametric regression method is applied to a simulated data set and the estimated smooth functions provide insights into the relationship between failure time and explanatory variables in the data.