Acta mathematica scientia,Series B ›› 1997, Vol. 17 ›› Issue (2): 230-240.

• Articles • Previous Articles    

SOME LARGE SAMPLE PROPERTIES OF AN ESTIMATOR OF THE HAZARD FUNCTION FROM RANDOMLY CENSORED DATA

Wang Qihua   

  1. Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing 100080, China
  • Received:1995-03-25 Revised:1995-12-26 Online:1997-06-25 Published:1997-06-25
  • Supported by:
    This project was supported by China Postdoctoral Science Foundation.

Abstract: In this paper, A nonparametric hazard estimtor is introduced. Weak convergence and strong uniformly coinsistency of the proposed estimator λn(t) are investigated on a bounded interval, respectively. An asymptotic representation of λn(t) is also given, and the asymptotic representation is used to prove asymptotic normality of the hazard estimator.

Key words: Weak Convergence, Strong Consistency, Asymptotic Representation, Asymptotic Normality

Trendmd