数学物理学报(英文版) ›› 1996, Vol. 16 ›› Issue (2): 170-180.

• 论文 • 上一篇    下一篇

A KERNEL ESTIMATOR OF A DENSITY FUNCTION IN MULTIVARIATE CASE FROM RANDOMLY CENSORED DATA

周勇   

  1. Probability laboratory in Inst. of Appl. Math., Academia Sinica, Beijing 100080, China
  • 收稿日期:1994-04-25 修回日期:1995-01-03 出版日期:1996-06-25 发布日期:1996-06-25
  • 基金资助:
    Supported by NNSF of China and & postdoctoral grant of China.

A KERNEL ESTIMATOR OF A DENSITY FUNCTION IN MULTIVARIATE CASE FROM RANDOMLY CENSORED DATA

Zhou Yong   

  1. Probability laboratory in Inst. of Appl. Math., Academia Sinica, Beijing 100080, China
  • Received:1994-04-25 Revised:1995-01-03 Online:1996-06-25 Published:1996-06-25
  • Supported by:
    Supported by NNSF of China and & postdoctoral grant of China.

摘要: A kernel density estimator is proposed when tile data are subject to censorship in multivariate case. The asymptotic normality, strong convergence and asymptotic optimal bandwidth which minimize the mean square error of the estimator are studied.

关键词: Kernel density estimator, asymptotic normality, product-limit estimator, mean square error and censored data

Abstract: A kernel density estimator is proposed when tile data are subject to censorship in multivariate case. The asymptotic normality, strong convergence and asymptotic optimal bandwidth which minimize the mean square error of the estimator are studied.

Key words: Kernel density estimator, asymptotic normality, product-limit estimator, mean square error and censored data