A semiparametric model for truncated and censored data

Liuquan Sun and Lixing Zhu

Statistics & Probability Letters, 2000, vol. 48, issue 3, 217-227

Abstract: In this paper we propose and study a semiparametric estimator of the survival function based on left truncated and right censored data. Uniform consistency and a functional central limit result for this estimator are established. In addition, this estimator is shown to be superior to the product-limit estimator in terms of asymptotic variance.

Keywords: Truncated; and; censored; data; Product-limit; estimator; Maximum-likelihood; estimation; Functional; central; limit; theorem; Uniform; consistency (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (5)

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