A Strong Representation of the Product-Limit Estimator for Left Truncated and Right Censored Data
Yong Zhou and
Paul S. F. Yip
Journal of Multivariate Analysis, 1999, vol. 69, issue 2, 261-280
Abstract:
In this paper we consider the TJW product-limit estimatorFn(x) of an unknown distribution functionFwhen the data are subject to random left truncation and right censorship. An almost sure representation of PL-estimatorFn(x) is derived with an improved error bound under some weaker assumptions. We obtain the strong approximation ofFn(x)-F(x) by Gaussian processes and the functional law of the iterated logarithm is proved for maximal derivation of the product-limit estimator toF. A sharp rate of convergence theorem concerning the smoothed TJW product-limit estimator is obtained. Asymptotic properties of kernel estimators of density function based on TJW product-limit estimator is given.
Keywords: truncated; data; censored; data; product-limit; estimator; almost; sure; representation (search for similar items in EconPapers)
Date: 1999
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Citations: View citations in EconPapers (18)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:69:y:1999:i:2:p:261-280
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