A semiparametric model for truncated and censored data
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.
Year of publication: |
2000
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Authors: | Sun, Liuquan ; Zhu, Lixing |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 48.2000, 3, p. 217-227
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Publisher: |
Elsevier |
Keywords: | Truncated and censored data Product-limit estimator Maximum-likelihood estimation Functional central limit theorem Uniform consistency |
Saved in:
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