Probability density estimation for survival data with censoring indicators missing at random

Qihua Wang, Wei Liu and Chunling Liu

Journal of Multivariate Analysis, 2009, vol. 100, issue 5, 835-850

Abstract: In this paper, some nonparametric approaches of density function estimation are developed when censoring indicators are missing at random. A conditional mean score based estimator and a mean score estimator are suggested, respectively. The two estimators are proved to be asymptotically normal and uniformly strongly consistent. The bandwidth selection problem is also discussed. A simulation study is conducted to compare finite-sample behaviors of the proposed estimators.

Keywords: primary; 62G05 secondary; 62E20 Asymptotic normality Strong consistency Bandwidth selection Mean-squared error Missing at random (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (2)

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