Accession Number:

ADA073563

Title:

Extreme Sample Censoring Problems with Multivariate Data - II.

Descriptive Note:

Mimeograph series,

Corporate Author:

NORTH CAROLINA UNIV AT CHAPEL HILL DEPT OF STATISTICS

Personal Author(s):

Report Date:

1979-07-01

Pagination or Media Count:

23.0

Abstract:

Indirect censoring is defined as the effect on observed variables of censoring on unobserved variables. Methods of testing for indirect censoring are discussed, and exemplified, using a bivariate Farlie-Gumbel-Morgenstern distribution. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE