Estimation in additive models with fixed censored responses

Hailin Huang, Yanlin Tang, Yuanzhang Li and Hua Liang

Journal of Nonparametric Statistics, 2019, vol. 31, issue 1, 131-143

Abstract: We propose a new estimation method to estimate the nonparametric functions in additive models, where the response is subject to fixed censoring. Under some regularity conditions, we show that the proposed estimator is uniformly consistent with certain convergence rates. The simulation study shows that the proposed estimator performs well in finite sample sizes. We also analyze a dataset from an HIV study for an illustration.

Date: 2019
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DOI: 10.1080/10485252.2018.1537441

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