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) : Korwar, Ramesh
Report Date : JUN 1980
Pagination or Media Count : 6
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)
Descriptors : *BIVARIATE ANALYSIS, *NONPARAMETRIC STATISTICS, COMPUTATIONS, CONSISTENCY, PROBABILITY DISTRIBUTION FUNCTIONS, ESTIMATES, SURVIVAL(GENERAL).
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE