Accession Number:

ADA207121

Title:

Nonparametric Test of Independence for Censored Data.

Descriptive Note:

Final rept.,

Corporate Author:

MASSACHUSETTS UNIV AMHERST DEPT OF MATHEMATICS AND STATISTICS

Personal Author(s):

Report Date:

1980-06-01

Pagination or Media Count:

6.0

Abstract:

In an effort to widen the area of applicability of the self-consistent estimator of a bivariate survival distribution developed earlier to more complex situations, the following situation of double censoring was considered. The Nonparametric Estimation of a Bivariate Survivorship Function with Doubly Censored Data Frequently are doubly censored-that is, some of the data may be censored on the left late entries some on the right losses while some others may be uncensored deaths. Keywords Computations, Iterations. kr

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE