Department of Mathematics
A monotonic. pointwise unbiased and uniformly consistent estimator for the survival function of failure time under the random censorship model is proposed. This estimator is closely related to the Kaplan-Meier. the Nelson-Aalen. and the reduced sample estimator. Large sample properties of the new estimator are discussed.
generalized reduced sample type estimator, Kaplan Meier, Nelson-Aalen, random censorship
Source Publication Title
Communications in Statistics - Theory and Methods
Taylor & Francis
This is an Accepted Manuscript of an article published by Taylor & Francis in Communications in Statistics - Theory and Methods in January 1999, available online: http://dx.doi.org/10.1080/03610929908832419.
Link to Publisher's Edition
Chiu, S. (1999). An unbiased estimator for the survival function of censored data. Communications in Statistics - Theory and Methods, 28 (9), 2249-2260. https://doi.org/10.1080/03610929908832419